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You searched for subject:(Vector Evaluated Particle Swarm Optimization). Showing records 1 – 30 of 30122 total matches.

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Anna University

1. Rajkumar P. Application of particle swarm optimization technique for reactive power optimization problem;.

Degree: Particle swarm optimization technique for reactive power optimization problem, 2013, Anna University

Reactive power optimization is an important function both in planning and day-to-day operation of power systems. Reactive power planning utilizes the existing reactive power sources… (more)

Subjects/Keywords: Evolutionary computation techniques; Genetic Algorthim; evolutionary programming; particle swarm optimization; vector evaluated particle swarm optimization technique

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

P, R. (2013). Application of particle swarm optimization technique for reactive power optimization problem;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/10309

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

P, Rajkumar. “Application of particle swarm optimization technique for reactive power optimization problem;.” 2013. Thesis, Anna University. Accessed March 07, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/10309.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

P, Rajkumar. “Application of particle swarm optimization technique for reactive power optimization problem;.” 2013. Web. 07 Mar 2021.

Vancouver:

P R. Application of particle swarm optimization technique for reactive power optimization problem;. [Internet] [Thesis]. Anna University; 2013. [cited 2021 Mar 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10309.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

P R. Application of particle swarm optimization technique for reactive power optimization problem;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10309

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pretoria

2. Helbig, Marde. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation.

Degree: Computer Science, 2012, University of Pretoria

 Most optimisation problems in everyday life are not static in nature, have multiple objectives and at least two of the objectives are in conflict with… (more)

Subjects/Keywords: Management of boundary constraint violations; Performance measures; Guide updates; Benchmark functions; Dynamic multi-objective optimisation; Particle swarm optimization (PSO); Vector evaluated particle swarm optimisation; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Helbig, M. (2012). Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/28161

Chicago Manual of Style (16th Edition):

Helbig, Marde. “Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation.” 2012. Doctoral Dissertation, University of Pretoria. Accessed March 07, 2021. http://hdl.handle.net/2263/28161.

MLA Handbook (7th Edition):

Helbig, Marde. “Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation.” 2012. Web. 07 Mar 2021.

Vancouver:

Helbig M. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. [Internet] [Doctoral dissertation]. University of Pretoria; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2263/28161.

Council of Science Editors:

Helbig M. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. [Doctoral Dissertation]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/28161


University of Pretoria

3. Scheepers, Christiaan. Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer.

Degree: PhD, Computer Science, 2017, University of Pretoria

 An exploratory analysis in low-dimensional objective space of the vector evaluated particle swarm optimization (VEPSO) algorithm is presented. A novel visualization technique is presented and… (more)

Subjects/Keywords: Multi-objective optimization; Multi-guided particle swarm optimization; Performance measures; Attainment surface; Particle swarm optimization (PSO); Vector evaluated particle swarm optimizer; Porcupine measure; Particle swarm visualization; UCTD

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APA (6th Edition):

Scheepers, C. (2017). Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/64041

Chicago Manual of Style (16th Edition):

Scheepers, Christiaan. “Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer.” 2017. Doctoral Dissertation, University of Pretoria. Accessed March 07, 2021. http://hdl.handle.net/2263/64041.

MLA Handbook (7th Edition):

Scheepers, Christiaan. “Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer.” 2017. Web. 07 Mar 2021.

Vancouver:

Scheepers C. Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer. [Internet] [Doctoral dissertation]. University of Pretoria; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2263/64041.

Council of Science Editors:

Scheepers C. Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer. [Doctoral Dissertation]. University of Pretoria; 2017. Available from: http://hdl.handle.net/2263/64041


University of Pretoria

4. [No author]. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation .

Degree: 2012, University of Pretoria

 Most optimisation problems in everyday life are not static in nature, have multiple objectives and at least two of the objectives are in conflict with… (more)

Subjects/Keywords: Management of boundary constraint violations; Performance measures; Guide updates; Benchmark functions; Dynamic multi-objective optimisation; Particle swarm optimisation; Vector evaluated particle swarm optimisation; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

author], [. (2012). Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-09242012-211127/

Chicago Manual of Style (16th Edition):

author], [No. “Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation .” 2012. Doctoral Dissertation, University of Pretoria. Accessed March 07, 2021. http://upetd.up.ac.za/thesis/available/etd-09242012-211127/.

MLA Handbook (7th Edition):

author], [No. “Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation .” 2012. Web. 07 Mar 2021.

Vancouver:

author] [. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation . [Internet] [Doctoral dissertation]. University of Pretoria; 2012. [cited 2021 Mar 07]. Available from: http://upetd.up.ac.za/thesis/available/etd-09242012-211127/.

Council of Science Editors:

author] [. Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation . [Doctoral Dissertation]. University of Pretoria; 2012. Available from: http://upetd.up.ac.za/thesis/available/etd-09242012-211127/

5. YANG, Shiqin. Research on Homogeneous and Heterogeneous Particle Swarm Optimization for Global Optimization Problems : 大域的最適化問題のための同種および異種粒子群最適化法の研究.

Degree: 博士(理学), 2017, Hosei University / 法政大学

 The premature convergence problem and the exploration-exploitation trade-off problem are the two major problems encountered by many swarm intelligence algorithms in both global optimization and… (more)

Subjects/Keywords: Particle Swarm Optimization; Global Optimization

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APA (6th Edition):

YANG, S. (2017). Research on Homogeneous and Heterogeneous Particle Swarm Optimization for Global Optimization Problems : 大域的最適化問題のための同種および異種粒子群最適化法の研究. (Thesis). Hosei University / 法政大学. Retrieved from http://hdl.handle.net/10114/13303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

YANG, Shiqin. “Research on Homogeneous and Heterogeneous Particle Swarm Optimization for Global Optimization Problems : 大域的最適化問題のための同種および異種粒子群最適化法の研究.” 2017. Thesis, Hosei University / 法政大学. Accessed March 07, 2021. http://hdl.handle.net/10114/13303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

YANG, Shiqin. “Research on Homogeneous and Heterogeneous Particle Swarm Optimization for Global Optimization Problems : 大域的最適化問題のための同種および異種粒子群最適化法の研究.” 2017. Web. 07 Mar 2021.

Vancouver:

YANG S. Research on Homogeneous and Heterogeneous Particle Swarm Optimization for Global Optimization Problems : 大域的最適化問題のための同種および異種粒子群最適化法の研究. [Internet] [Thesis]. Hosei University / 法政大学; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10114/13303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

YANG S. Research on Homogeneous and Heterogeneous Particle Swarm Optimization for Global Optimization Problems : 大域的最適化問題のための同種および異種粒子群最適化法の研究. [Thesis]. Hosei University / 法政大学; 2017. Available from: http://hdl.handle.net/10114/13303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

6. Li, Pei-yun. Applying K-means Clustering Algorithm and MSVM for Wind Power Forecasting.

Degree: Master, Electrical Engineering, 2017, NSYSU

 Wind power is a key development for the purpose of the global sustainability trends in renewable energy. However, influenced by factors of geography, circumstance and… (more)

Subjects/Keywords: Wind Power Forecasting; Wind Prediction; Particle Swarm Optimization; Support Vector Machine; Clustering Analysis

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APA (6th Edition):

Li, P. (2017). Applying K-means Clustering Algorithm and MSVM for Wind Power Forecasting. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617117-160757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Pei-yun. “Applying K-means Clustering Algorithm and MSVM for Wind Power Forecasting.” 2017. Thesis, NSYSU. Accessed March 07, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617117-160757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Pei-yun. “Applying K-means Clustering Algorithm and MSVM for Wind Power Forecasting.” 2017. Web. 07 Mar 2021.

Vancouver:

Li P. Applying K-means Clustering Algorithm and MSVM for Wind Power Forecasting. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Mar 07]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617117-160757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li P. Applying K-means Clustering Algorithm and MSVM for Wind Power Forecasting. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0617117-160757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

7. Bertram, Aaron M. Machine learning assisted optimization with applications to diesel engine optimization with the particle swarm optimization algorithm.

Degree: 2019, Iowa State University

 A novel approach to incorporating Machine Learning into optimization routines is presented. An approach which combines the benefits of ML, optimization, and meta-model searching is… (more)

Subjects/Keywords: Compression Igntion; Machine Learning; Optimization; Particle Swarm; Support Vector Regression; Mechanical Engineering

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APA (6th Edition):

Bertram, A. M. (2019). Machine learning assisted optimization with applications to diesel engine optimization with the particle swarm optimization algorithm. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bertram, Aaron M. “Machine learning assisted optimization with applications to diesel engine optimization with the particle swarm optimization algorithm.” 2019. Thesis, Iowa State University. Accessed March 07, 2021. https://lib.dr.iastate.edu/etd/17402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bertram, Aaron M. “Machine learning assisted optimization with applications to diesel engine optimization with the particle swarm optimization algorithm.” 2019. Web. 07 Mar 2021.

Vancouver:

Bertram AM. Machine learning assisted optimization with applications to diesel engine optimization with the particle swarm optimization algorithm. [Internet] [Thesis]. Iowa State University; 2019. [cited 2021 Mar 07]. Available from: https://lib.dr.iastate.edu/etd/17402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bertram AM. Machine learning assisted optimization with applications to diesel engine optimization with the particle swarm optimization algorithm. [Thesis]. Iowa State University; 2019. Available from: https://lib.dr.iastate.edu/etd/17402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

8. Naik, G Narayana. Development And Design Optimization Of Laminated Composite Structures Using Failure Mechanism Based Failure Criterion.

Degree: PhD, Faculty of Enginering, 2009, Indian Institute of Science

 In recent years, use of composites is increasing in most fields of engineering such as aerospace, automotive, civil construction, marine, prosthetics, etc., because of its… (more)

Subjects/Keywords: Structural Analysis; Laminated Composites; Composites - Design Optimization; Failure Mechanism Based Failure Criterion; Composite Laminates - Failure Mechanism Based Design; Vector Evaluated Particle Swarm Optimization; Genetic Algorithms; Composite Laminates; Composite Laminae; Composite Structures; Design Optimization; Failure Criterion; Structural Engineering

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APA (6th Edition):

Naik, G. N. (2009). Development And Design Optimization Of Laminated Composite Structures Using Failure Mechanism Based Failure Criterion. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/469

Chicago Manual of Style (16th Edition):

Naik, G Narayana. “Development And Design Optimization Of Laminated Composite Structures Using Failure Mechanism Based Failure Criterion.” 2009. Doctoral Dissertation, Indian Institute of Science. Accessed March 07, 2021. http://etd.iisc.ac.in/handle/2005/469.

MLA Handbook (7th Edition):

Naik, G Narayana. “Development And Design Optimization Of Laminated Composite Structures Using Failure Mechanism Based Failure Criterion.” 2009. Web. 07 Mar 2021.

Vancouver:

Naik GN. Development And Design Optimization Of Laminated Composite Structures Using Failure Mechanism Based Failure Criterion. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2009. [cited 2021 Mar 07]. Available from: http://etd.iisc.ac.in/handle/2005/469.

Council of Science Editors:

Naik GN. Development And Design Optimization Of Laminated Composite Structures Using Failure Mechanism Based Failure Criterion. [Doctoral Dissertation]. Indian Institute of Science; 2009. Available from: http://etd.iisc.ac.in/handle/2005/469


University of Pretoria

9. Cleghorn, Christopher Wesley. A Generalized theoretical deterministic particle swarm model.

Degree: Computer Science, 2013, University of Pretoria

Particle swarm optimization (PSO) is a well known population-based search algorithm, originally developed by Kennedy and Eberhart in 1995. The PSO has been utilized in… (more)

Subjects/Keywords: Particle swarm optimization (PSO); UCTD

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APA (6th Edition):

Cleghorn, C. W. (2013). A Generalized theoretical deterministic particle swarm model. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/33333

Chicago Manual of Style (16th Edition):

Cleghorn, Christopher Wesley. “A Generalized theoretical deterministic particle swarm model.” 2013. Masters Thesis, University of Pretoria. Accessed March 07, 2021. http://hdl.handle.net/2263/33333.

MLA Handbook (7th Edition):

Cleghorn, Christopher Wesley. “A Generalized theoretical deterministic particle swarm model.” 2013. Web. 07 Mar 2021.

Vancouver:

Cleghorn CW. A Generalized theoretical deterministic particle swarm model. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2263/33333.

Council of Science Editors:

Cleghorn CW. A Generalized theoretical deterministic particle swarm model. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/33333


University of Ontario Institute of Technology

10. Ali, Mohammad Yasin. Energy management system of a microgrid with distributed generation.

Degree: 2019, University of Ontario Institute of Technology

 An Energy Management System (EMS) is required to control the flow of power and match generation with the load within a microgrid during grid-connected and… (more)

Subjects/Keywords: Particle swarm optimization; Differential evolution

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APA (6th Edition):

Ali, M. Y. (2019). Energy management system of a microgrid with distributed generation. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1094

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ali, Mohammad Yasin. “Energy management system of a microgrid with distributed generation.” 2019. Thesis, University of Ontario Institute of Technology. Accessed March 07, 2021. http://hdl.handle.net/10155/1094.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ali, Mohammad Yasin. “Energy management system of a microgrid with distributed generation.” 2019. Web. 07 Mar 2021.

Vancouver:

Ali MY. Energy management system of a microgrid with distributed generation. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10155/1094.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ali MY. Energy management system of a microgrid with distributed generation. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1094

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Drosos, Christos. Optimized heuristic implementations in al multi - agent systems.

Degree: 2016, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

 A central vision of the combinatorial optimization is to deliver a number of independent lines of operational research by implementing algorithms and hyper-graph theory on… (more)

Subjects/Keywords: Αλγόριθμοι; Particle swarm optimization

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APA (6th Edition):

Drosos, C. (2016). Optimized heuristic implementations in al multi - agent systems. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/38763

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Drosos, Christos. “Optimized heuristic implementations in al multi - agent systems.” 2016. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed March 07, 2021. http://hdl.handle.net/10442/hedi/38763.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Drosos, Christos. “Optimized heuristic implementations in al multi - agent systems.” 2016. Web. 07 Mar 2021.

Vancouver:

Drosos C. Optimized heuristic implementations in al multi - agent systems. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10442/hedi/38763.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Drosos C. Optimized heuristic implementations in al multi - agent systems. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2016. Available from: http://hdl.handle.net/10442/hedi/38763

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

12. Lakshmipathy, Sathish Kumar. VHTR Core Shuffling Algorithm Using Particle Swarm Optimization ReloPSO-3D.

Degree: MS, Nuclear Engineering, 2012, Texas A&M University

 Improving core performance by reshuffling/reloading the fuel blocks within the core is one of the in-core fuel management methods with two major benefits: a possibility… (more)

Subjects/Keywords: Particle Swarm Optimization; Core shuffling optimization

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APA (6th Edition):

Lakshmipathy, S. K. (2012). VHTR Core Shuffling Algorithm Using Particle Swarm Optimization ReloPSO-3D. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11188

Chicago Manual of Style (16th Edition):

Lakshmipathy, Sathish Kumar. “VHTR Core Shuffling Algorithm Using Particle Swarm Optimization ReloPSO-3D.” 2012. Masters Thesis, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11188.

MLA Handbook (7th Edition):

Lakshmipathy, Sathish Kumar. “VHTR Core Shuffling Algorithm Using Particle Swarm Optimization ReloPSO-3D.” 2012. Web. 07 Mar 2021.

Vancouver:

Lakshmipathy SK. VHTR Core Shuffling Algorithm Using Particle Swarm Optimization ReloPSO-3D. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11188.

Council of Science Editors:

Lakshmipathy SK. VHTR Core Shuffling Algorithm Using Particle Swarm Optimization ReloPSO-3D. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11188


NSYSU

13. Lin, Chien-hung. TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems.

Degree: Master, Electrical Engineering, 2008, NSYSU

 One of the major problems encountered in wireless location is the effect caused by non-line of sight (NLOS) propagation. When the direct path from the… (more)

Subjects/Keywords: TOA; particle swarm optimization (PSO); wireless location; UWB; NLOS; least squares-support vector machine (LS-SVM)

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APA (6th Edition):

Lin, C. (2008). TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Chien-hung. “TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems.” 2008. Thesis, NSYSU. Accessed March 07, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Chien-hung. “TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems.” 2008. Web. 07 Mar 2021.

Vancouver:

Lin C. TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems. [Internet] [Thesis]. NSYSU; 2008. [cited 2021 Mar 07]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin C. TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

14. Chen, Chun-hao. An Enhanced Initialization Method for Codebook Generation.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

 Linde-Buzo-Gray algorithm (LBG) is one of the most well-known image compressionalgorithms for the codebook generation problem of vector quantization. But in recent years,metaheuristic algorithms have… (more)

Subjects/Keywords: simulated annealing; codebook generation problem; particle swarm optimization (PSO); Vector quantization; tabu search; Linde-Buzo-Gray (LBG)

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APA (6th Edition):

Chen, C. (2015). An Enhanced Initialization Method for Codebook Generation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-161941

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Chun-hao. “An Enhanced Initialization Method for Codebook Generation.” 2015. Thesis, NSYSU. Accessed March 07, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-161941.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Chun-hao. “An Enhanced Initialization Method for Codebook Generation.” 2015. Web. 07 Mar 2021.

Vancouver:

Chen C. An Enhanced Initialization Method for Codebook Generation. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Mar 07]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-161941.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen C. An Enhanced Initialization Method for Codebook Generation. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-161941

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

15. So, Jinhyun. Comparison of cat swarm optimization and particle swarm optimization algorithm for Iir system identification.

Degree: 2013, Penn State University

 Infinite impulse response (IIR) systems are widely used in modeling systems such as communications, bio-systems, acoustics, etc. Many algorithms in computational intelligence area have been… (more)

Subjects/Keywords: IIR system; cat swarm optimization; particle swarm optimization

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APA (6th Edition):

So, J. (2013). Comparison of cat swarm optimization and particle swarm optimization algorithm for Iir system identification. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18879

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

So, Jinhyun. “Comparison of cat swarm optimization and particle swarm optimization algorithm for Iir system identification.” 2013. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/18879.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

So, Jinhyun. “Comparison of cat swarm optimization and particle swarm optimization algorithm for Iir system identification.” 2013. Web. 07 Mar 2021.

Vancouver:

So J. Comparison of cat swarm optimization and particle swarm optimization algorithm for Iir system identification. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/18879.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

So J. Comparison of cat swarm optimization and particle swarm optimization algorithm for Iir system identification. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18879

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Subramanian M. A study on process characteristics of CNC end milling process For al7075 t6 aluminium alloy;.

Degree: A study on process characteristics of CNC end milling process For al7075 t6 aluminium alloy, 2015, Anna University

An end milling process is a multipoint interrupted cutting in newlinewhich the contact between cutting edge and the work piece is not continuous newlineand the… (more)

Subjects/Keywords: Genetic Algorithm; Particle Swarm Optimization; Simulated Annealing

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

M, S. (2015). A study on process characteristics of CNC end milling process For al7075 t6 aluminium alloy;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38600

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

M, Subramanian. “A study on process characteristics of CNC end milling process For al7075 t6 aluminium alloy;.” 2015. Thesis, Anna University. Accessed March 07, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/38600.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

M, Subramanian. “A study on process characteristics of CNC end milling process For al7075 t6 aluminium alloy;.” 2015. Web. 07 Mar 2021.

Vancouver:

M S. A study on process characteristics of CNC end milling process For al7075 t6 aluminium alloy;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Mar 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38600.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

M S. A study on process characteristics of CNC end milling process For al7075 t6 aluminium alloy;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38600

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidad de Chile

17. Lai, Chun-Hau. Diseño e implementación de algoritmos aproximados de clustering balanceado en PSO.

Degree: 2012, Universidad de Chile

 Este trabajo de tesis está dedicado al diseño e implementación de algoritmos aproximados que permiten explorar las mejores soluciones para el problema de Clustering Balanceado,… (more)

Subjects/Keywords: Algoritmos computacionales; Clustering balancead; Particle swarm optimization

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APA (6th Edition):

Lai, C. (2012). Diseño e implementación de algoritmos aproximados de clustering balanceado en PSO. (Thesis). Universidad de Chile. Retrieved from http://repositorio.uchile.cl/handle/2250/111954

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lai, Chun-Hau. “Diseño e implementación de algoritmos aproximados de clustering balanceado en PSO.” 2012. Thesis, Universidad de Chile. Accessed March 07, 2021. http://repositorio.uchile.cl/handle/2250/111954.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lai, Chun-Hau. “Diseño e implementación de algoritmos aproximados de clustering balanceado en PSO.” 2012. Web. 07 Mar 2021.

Vancouver:

Lai C. Diseño e implementación de algoritmos aproximados de clustering balanceado en PSO. [Internet] [Thesis]. Universidad de Chile; 2012. [cited 2021 Mar 07]. Available from: http://repositorio.uchile.cl/handle/2250/111954.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lai C. Diseño e implementación de algoritmos aproximados de clustering balanceado en PSO. [Thesis]. Universidad de Chile; 2012. Available from: http://repositorio.uchile.cl/handle/2250/111954

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brigham Young University

18. McNabb, Andrew W. Parallel Particle Swarm Optimization and Large Swarms.

Degree: MS, 2011, Brigham Young University

Optimization is the search for the maximum or minimum of a given objective function. Particle Swarm Optimization (PSO) is a simple and effective evolutionary algorithm,… (more)

Subjects/Keywords: particle swarm optimization; parallelization; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

McNabb, A. W. (2011). Parallel Particle Swarm Optimization and Large Swarms. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3479&context=etd

Chicago Manual of Style (16th Edition):

McNabb, Andrew W. “Parallel Particle Swarm Optimization and Large Swarms.” 2011. Masters Thesis, Brigham Young University. Accessed March 07, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3479&context=etd.

MLA Handbook (7th Edition):

McNabb, Andrew W. “Parallel Particle Swarm Optimization and Large Swarms.” 2011. Web. 07 Mar 2021.

Vancouver:

McNabb AW. Parallel Particle Swarm Optimization and Large Swarms. [Internet] [Masters thesis]. Brigham Young University; 2011. [cited 2021 Mar 07]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3479&context=etd.

Council of Science Editors:

McNabb AW. Parallel Particle Swarm Optimization and Large Swarms. [Masters Thesis]. Brigham Young University; 2011. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3479&context=etd


University of Manitoba

19. Franz, Wayne. Multi-population PSO-GA hybrid techniques: integration, topologies, and parallel composition.

Degree: Computer Science, 2013, University of Manitoba

 Recent work in metaheuristic algorithms has shown that solution quality may be improved by composing algorithms with orthogonal characteristics. In this thesis, I study multi-population… (more)

Subjects/Keywords: Particle Swarm Optimization; Genetic Algorithm; GPU; Metaheuristic

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APA (6th Edition):

Franz, W. (2013). Multi-population PSO-GA hybrid techniques: integration, topologies, and parallel composition. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23842

Chicago Manual of Style (16th Edition):

Franz, Wayne. “Multi-population PSO-GA hybrid techniques: integration, topologies, and parallel composition.” 2013. Masters Thesis, University of Manitoba. Accessed March 07, 2021. http://hdl.handle.net/1993/23842.

MLA Handbook (7th Edition):

Franz, Wayne. “Multi-population PSO-GA hybrid techniques: integration, topologies, and parallel composition.” 2013. Web. 07 Mar 2021.

Vancouver:

Franz W. Multi-population PSO-GA hybrid techniques: integration, topologies, and parallel composition. [Internet] [Masters thesis]. University of Manitoba; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1993/23842.

Council of Science Editors:

Franz W. Multi-population PSO-GA hybrid techniques: integration, topologies, and parallel composition. [Masters Thesis]. University of Manitoba; 2013. Available from: http://hdl.handle.net/1993/23842


University of Illinois – Chicago

20. Shah, Rahul H. Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization.

Degree: 2017, University of Illinois – Chicago

 Production costs account for the largest share of the overall cost of manufacturing facilities. With the U.S. industrial sector becoming more and more competitive, manufacturers… (more)

Subjects/Keywords: Particle Swarm Optimization; Energy; Maintenance; Scheduling

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APA (6th Edition):

Shah, R. H. (2017). Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shah, Rahul H. “Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization.” 2017. Thesis, University of Illinois – Chicago. Accessed March 07, 2021. http://hdl.handle.net/10027/21993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shah, Rahul H. “Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization.” 2017. Web. 07 Mar 2021.

Vancouver:

Shah RH. Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10027/21993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shah RH. Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


IUPUI

21. Chong Chie, Juan Antonio Kim Hoo. Motion correction of PET/CT images.

Degree: 2017, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

The advances in health care technology help physicians make more accurate diagnoses about the health conditions of their patients. Positron… (more)

Subjects/Keywords: PET/CT; Motion Correction; Particle Swarm Optimization

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APA (6th Edition):

Chong Chie, J. A. K. H. (2017). Motion correction of PET/CT images. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/12353

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chong Chie, Juan Antonio Kim Hoo. “Motion correction of PET/CT images.” 2017. Thesis, IUPUI. Accessed March 07, 2021. http://hdl.handle.net/1805/12353.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chong Chie, Juan Antonio Kim Hoo. “Motion correction of PET/CT images.” 2017. Web. 07 Mar 2021.

Vancouver:

Chong Chie JAKH. Motion correction of PET/CT images. [Internet] [Thesis]. IUPUI; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1805/12353.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chong Chie JAKH. Motion correction of PET/CT images. [Thesis]. IUPUI; 2017. Available from: http://hdl.handle.net/1805/12353

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

22. Stanley, Aishwarya. Identifying near-earth asteroid targets for human exploration using particle swarm optimization.

Degree: MS, 4048, 2013, University of Illinois – Urbana-Champaign

 The goal of this thesis is to identify potential Near-Earth Asteroids (NEAs) that are viable candidates for human exploration. The computational method incorporated to help… (more)

Subjects/Keywords: Near-Earth Asteroids; Particle Swarm Optimization

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APA (6th Edition):

Stanley, A. (2013). Identifying near-earth asteroid targets for human exploration using particle swarm optimization. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44435

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stanley, Aishwarya. “Identifying near-earth asteroid targets for human exploration using particle swarm optimization.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed March 07, 2021. http://hdl.handle.net/2142/44435.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stanley, Aishwarya. “Identifying near-earth asteroid targets for human exploration using particle swarm optimization.” 2013. Web. 07 Mar 2021.

Vancouver:

Stanley A. Identifying near-earth asteroid targets for human exploration using particle swarm optimization. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2142/44435.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stanley A. Identifying near-earth asteroid targets for human exploration using particle swarm optimization. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44435

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brock University

23. Bond, Ron. Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms .

Degree: Department of Computer Science, Brock University

 Population-based metaheuristics, such as particle swarm optimization (PSO), have been employed to solve many real-world optimization problems. Although it is of- ten sufficient to find… (more)

Subjects/Keywords: Particle swarm optimization

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APA (6th Edition):

Bond, R. (n.d.). Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/6314

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bond, Ron. “Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms .” Thesis, Brock University. Accessed March 07, 2021. http://hdl.handle.net/10464/6314.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bond, Ron. “Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms .” Web. 07 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Bond R. Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms . [Internet] [Thesis]. Brock University; [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10464/6314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Bond R. Characterizing Dynamic Optimization Benchmarks for the Comparison of Multi-Modal Tracking Algorithms . [Thesis]. Brock University; Available from: http://hdl.handle.net/10464/6314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


University of Waterloo

24. El-Abd, Mohammed. Cooperative Models of Particle Swarm Optimizers.

Degree: 2008, University of Waterloo

Particle Swarm Optimization (PSO) is one of the most effFective optimization tools, which emerged in the last decade. Although, the original aim was to simulate… (more)

Subjects/Keywords: Particle Swarm Optimization

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APA (6th Edition):

El-Abd, M. (2008). Cooperative Models of Particle Swarm Optimizers. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3958

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

El-Abd, Mohammed. “Cooperative Models of Particle Swarm Optimizers.” 2008. Thesis, University of Waterloo. Accessed March 07, 2021. http://hdl.handle.net/10012/3958.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

El-Abd, Mohammed. “Cooperative Models of Particle Swarm Optimizers.” 2008. Web. 07 Mar 2021.

Vancouver:

El-Abd M. Cooperative Models of Particle Swarm Optimizers. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10012/3958.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

El-Abd M. Cooperative Models of Particle Swarm Optimizers. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/3958

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

25. Jackuline moni D. Certain optimization techniques for Floorplanning in vlsi physical design;.

Degree: Certain optimization techniques for Floorplanning in vlsi physical design, 2014, Anna University

newlineFloorplanning is an important stage in VLSI Very Large Scale newlineIntegrated Circuits physical design cycle as it determines the performance newlinesize and reliability of VLSI… (more)

Subjects/Keywords: Differential Evolution; Hybrid Particle Swarm Optimization; Particle Swarm Optimization; Very Large Scale Integrated

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APA (6th Edition):

D, J. m. (2014). Certain optimization techniques for Floorplanning in vlsi physical design;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27186

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

D, Jackuline moni. “Certain optimization techniques for Floorplanning in vlsi physical design;.” 2014. Thesis, Anna University. Accessed March 07, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/27186.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

D, Jackuline moni. “Certain optimization techniques for Floorplanning in vlsi physical design;.” 2014. Web. 07 Mar 2021.

Vancouver:

D Jm. Certain optimization techniques for Floorplanning in vlsi physical design;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27186.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

D Jm. Certain optimization techniques for Floorplanning in vlsi physical design;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27186

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Komarasamy G. Certain investigations on data Clustering using hybrid algorithms for Unlabeled data sets;.

Degree: Certain investigations on data Clustering using hybrid algorithms for Unlabeled data sets, 2015, Anna University

Data mining is a process of extracting knowledge from homogeneous newlinewide variety of datasets It is mainly used in interdisciplinary subfield namely newlineartificial intelligence machine… (more)

Subjects/Keywords: Data mining; K means; K Means Particle Swarm Optimization; Particle Swarm Optimization

Page 1

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APA (6th Edition):

G, K. (2015). Certain investigations on data Clustering using hybrid algorithms for Unlabeled data sets;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/37796

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

G, Komarasamy. “Certain investigations on data Clustering using hybrid algorithms for Unlabeled data sets;.” 2015. Thesis, Anna University. Accessed March 07, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/37796.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

G, Komarasamy. “Certain investigations on data Clustering using hybrid algorithms for Unlabeled data sets;.” 2015. Web. 07 Mar 2021.

Vancouver:

G K. Certain investigations on data Clustering using hybrid algorithms for Unlabeled data sets;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Mar 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/37796.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

G K. Certain investigations on data Clustering using hybrid algorithms for Unlabeled data sets;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/37796

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Georgia

27. Smythe, Jared Michael Dean. Roulette Wheel Particle Swarm Optimization.

Degree: 2014, University of Georgia

 In this paper a new probability-based multi-valued Particle Swarm Optimization algorithm is developed for problems with nominal variables. The algorithm more explicitly contextualizes probability updates… (more)

Subjects/Keywords: Multi-valued particle swarm optimization; Discrete particle swarm optimization; Forest planning; Raindrop optimization; Nominal variables; Combinatorial optimization; Probability optimization

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APA (6th Edition):

Smythe, J. M. D. (2014). Roulette Wheel Particle Swarm Optimization. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Smythe, Jared Michael Dean. “Roulette Wheel Particle Swarm Optimization.” 2014. Thesis, University of Georgia. Accessed March 07, 2021. http://hdl.handle.net/10724/28119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Smythe, Jared Michael Dean. “Roulette Wheel Particle Swarm Optimization.” 2014. Web. 07 Mar 2021.

Vancouver:

Smythe JMD. Roulette Wheel Particle Swarm Optimization. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10724/28119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Smythe JMD. Roulette Wheel Particle Swarm Optimization. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

28. PRATHYUSHA, YERRA. UAV Path planning and collaborative searching for air pollution source using the Particle Swarm Optimization.

Degree: Master, Computer Science and Engineering, 2018, NSYSU

 The air pollution has become a major ecological issue. The surpassed pollution levels can be controlled by searching the pollution source. An environmental monitoring UAVs… (more)

Subjects/Keywords: Swarm intelligence; UAV; Particle Swarm Optimization (PSO); Navigation algorithm; Path planning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

PRATHYUSHA, Y. (2018). UAV Path planning and collaborative searching for air pollution source using the Particle Swarm Optimization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-233344

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

PRATHYUSHA, YERRA. “UAV Path planning and collaborative searching for air pollution source using the Particle Swarm Optimization.” 2018. Thesis, NSYSU. Accessed March 07, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-233344.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

PRATHYUSHA, YERRA. “UAV Path planning and collaborative searching for air pollution source using the Particle Swarm Optimization.” 2018. Web. 07 Mar 2021.

Vancouver:

PRATHYUSHA Y. UAV Path planning and collaborative searching for air pollution source using the Particle Swarm Optimization. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Mar 07]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-233344.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

PRATHYUSHA Y. UAV Path planning and collaborative searching for air pollution source using the Particle Swarm Optimization. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-233344

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Talukder, Satyobroto. Mathematicle Modelling and Applications of Particle Swarm Optimization.

Degree: 2011, , School of Engineering

Optimization is a mathematical technique that concerns the finding of maxima or minima of functions in some feasible region. There is no business or… (more)

Subjects/Keywords: Optimization; swarm intelligence; particle swarm; social network; convergence; stagnation; multi-objective.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Talukder, S. (2011). Mathematicle Modelling and Applications of Particle Swarm Optimization. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2671

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Talukder, Satyobroto. “Mathematicle Modelling and Applications of Particle Swarm Optimization.” 2011. Thesis, , School of Engineering. Accessed March 07, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2671.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Talukder, Satyobroto. “Mathematicle Modelling and Applications of Particle Swarm Optimization.” 2011. Web. 07 Mar 2021.

Vancouver:

Talukder S. Mathematicle Modelling and Applications of Particle Swarm Optimization. [Internet] [Thesis]. , School of Engineering; 2011. [cited 2021 Mar 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2671.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Talukder S. Mathematicle Modelling and Applications of Particle Swarm Optimization. [Thesis]. , School of Engineering; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2671

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Kelman, Alexander. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games.

Degree: Informatics, 2017, University of Skövde

  The Ant Colony Optimization and Particle Swarm Optimization are two Swarm Intelligence algorithms often utilized for optimization. Swarm Intelligence relies on agents that possess… (more)

Subjects/Keywords: Swarm Intelligence; Pathfinding; Ant Colony Optimization; Particle Swarm Optimization; A*; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kelman, A. (2017). Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kelman, Alexander. “Utilizing Swarm Intelligence Algorithms for Pathfinding in Games.” 2017. Thesis, University of Skövde. Accessed March 07, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kelman, Alexander. “Utilizing Swarm Intelligence Algorithms for Pathfinding in Games.” 2017. Web. 07 Mar 2021.

Vancouver:

Kelman A. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. [Internet] [Thesis]. University of Skövde; 2017. [cited 2021 Mar 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kelman A. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. [Thesis]. University of Skövde; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13636

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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