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You searched for subject:(Multi Objective Optimization). Showing records 1 – 30 of 601 total matches.

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University of Cambridge

1. Lattarulo, Valerio. Development of a Multi-objective Variant of the Alliance Algorithm.

Degree: PhD, 2017, University of Cambridge

Optimization methodologies are particularly relevant nowadays due to the ever-increasing power of computers and the enhancement of mathematical models to better capture reality. These computational… (more)

Subjects/Keywords: optimization; multi-objective; algorithm

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APA (6th Edition):

Lattarulo, V. (2017). Development of a Multi-objective Variant of the Alliance Algorithm. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/270076

Chicago Manual of Style (16th Edition):

Lattarulo, Valerio. “Development of a Multi-objective Variant of the Alliance Algorithm.” 2017. Doctoral Dissertation, University of Cambridge. Accessed January 27, 2021. https://www.repository.cam.ac.uk/handle/1810/270076.

MLA Handbook (7th Edition):

Lattarulo, Valerio. “Development of a Multi-objective Variant of the Alliance Algorithm.” 2017. Web. 27 Jan 2021.

Vancouver:

Lattarulo V. Development of a Multi-objective Variant of the Alliance Algorithm. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2021 Jan 27]. Available from: https://www.repository.cam.ac.uk/handle/1810/270076.

Council of Science Editors:

Lattarulo V. Development of a Multi-objective Variant of the Alliance Algorithm. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/270076


University of New South Wales

2. Zhang, Bin. Online Knowledge-based Evolutionary Multi-objective Optimisation.

Degree: Engineering & Information Technology, 2015, University of New South Wales

 Knowledge-based optimization is a recent direction in evolutionary optimization research which aims at understanding the optimization process, discovering relationships between decision variables and performance parameters,… (more)

Subjects/Keywords: Knowledge-based Multi-objective Evolutionary Optimization; Evolutionary Multi-objective Optimization; Evolutionary Many-objective Optimization

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APA (6th Edition):

Zhang, B. (2015). Online Knowledge-based Evolutionary Multi-objective Optimisation. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55251 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36875/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Zhang, Bin. “Online Knowledge-based Evolutionary Multi-objective Optimisation.” 2015. Doctoral Dissertation, University of New South Wales. Accessed January 27, 2021. http://handle.unsw.edu.au/1959.4/55251 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36875/SOURCE02?view=true.

MLA Handbook (7th Edition):

Zhang, Bin. “Online Knowledge-based Evolutionary Multi-objective Optimisation.” 2015. Web. 27 Jan 2021.

Vancouver:

Zhang B. Online Knowledge-based Evolutionary Multi-objective Optimisation. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2021 Jan 27]. Available from: http://handle.unsw.edu.au/1959.4/55251 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36875/SOURCE02?view=true.

Council of Science Editors:

Zhang B. Online Knowledge-based Evolutionary Multi-objective Optimisation. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/55251 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36875/SOURCE02?view=true


Texas A&M University

3. McDonald, Walter. A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing.

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

 An algorithm is presented that is capable of producing Pareto-optimal solutions for multi-objective infrastructure routing problems: the Multi-Objective Ant Colony Optimization (MOACO). This algorithm offers… (more)

Subjects/Keywords: Ant Colony Optimization; Multi-Objective; Multi-Objective Ant Colony Optimization

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APA (6th Edition):

McDonald, W. (2012). A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093

Chicago Manual of Style (16th Edition):

McDonald, Walter. “A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing.” 2012. Masters Thesis, Texas A&M University. Accessed January 27, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093.

MLA Handbook (7th Edition):

McDonald, Walter. “A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing.” 2012. Web. 27 Jan 2021.

Vancouver:

McDonald W. A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093.

Council of Science Editors:

McDonald W. A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11093


Universitat Politècnica de València

4. Siurana Paula, Maria. Modelling and multiobjective optimization for simulation of cyanobacterial metabolism .

Degree: 2017, Universitat Politècnica de València

 The present thesis is devoted to the development of models and algorithms to improve metabolic simulations of cyanobacterial metabolism. Cyanobacteria are photosynthetic bacteria of great… (more)

Subjects/Keywords: metabolic modelling; metabolic modeling; cyanobacteria; multi-objective optimisation; multi-objective optimization

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APA (6th Edition):

Siurana Paula, M. (2017). Modelling and multiobjective optimization for simulation of cyanobacterial metabolism . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/90578

Chicago Manual of Style (16th Edition):

Siurana Paula, Maria. “Modelling and multiobjective optimization for simulation of cyanobacterial metabolism .” 2017. Doctoral Dissertation, Universitat Politècnica de València. Accessed January 27, 2021. http://hdl.handle.net/10251/90578.

MLA Handbook (7th Edition):

Siurana Paula, Maria. “Modelling and multiobjective optimization for simulation of cyanobacterial metabolism .” 2017. Web. 27 Jan 2021.

Vancouver:

Siurana Paula M. Modelling and multiobjective optimization for simulation of cyanobacterial metabolism . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2017. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/10251/90578.

Council of Science Editors:

Siurana Paula M. Modelling and multiobjective optimization for simulation of cyanobacterial metabolism . [Doctoral Dissertation]. Universitat Politècnica de València; 2017. Available from: http://hdl.handle.net/10251/90578


Anna University

5. Ganesan H. A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;.

Degree: process parameters in turning process using evolutionary algorithms, 2014, Anna University

Economy of machinery operation plays a key role in competitiveness in newlinethe market In a manufacturing industry machining process is to shape the newlinemetal parts… (more)

Subjects/Keywords: evolutionary algorithms; mechanical engineering; multi objective optimization

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APA (6th Edition):

H, G. (2014). A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26237

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):

H, Ganesan. “A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;.” 2014. Thesis, Anna University. Accessed January 27, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/26237.

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

MLA Handbook (7th Edition):

H, Ganesan. “A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;.” 2014. Web. 27 Jan 2021.

Vancouver:

H G. A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Jan 27]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26237.

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

Council of Science Editors:

H G. A study on multi objective optimization of process parameters in turning process using evolutionary algorithms;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26237

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


Penn State University

6. Li, Kaiming. Broadband lossy impedance matching of antennas.

Degree: 2016, Penn State University

 In RF applications such as transmitters, amplifiers, receivers, and antennas, a task of vital importance is the design of an impedance matching network, one that… (more)

Subjects/Keywords: Broadband antennas; impedance matching; multi-objective optimization

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APA (6th Edition):

Li, K. (2016). Broadband lossy impedance matching of antennas. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28029

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, Kaiming. “Broadband lossy impedance matching of antennas.” 2016. Thesis, Penn State University. Accessed January 27, 2021. https://submit-etda.libraries.psu.edu/catalog/28029.

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

MLA Handbook (7th Edition):

Li, Kaiming. “Broadband lossy impedance matching of antennas.” 2016. Web. 27 Jan 2021.

Vancouver:

Li K. Broadband lossy impedance matching of antennas. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Jan 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/28029.

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

Council of Science Editors:

Li K. Broadband lossy impedance matching of antennas. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28029

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


University of Newcastle

7. Mortazavi Naeini, Seyed Mohammad. Multi-objective optimization of urban water resource systems.

Degree: PhD, 2013, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The provision of a water supply that is secure in the face of severe drought is a primary… (more)

Subjects/Keywords: multi-objective; optimization; scheduling; urban water management

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APA (6th Edition):

Mortazavi Naeini, S. M. (2013). Multi-objective optimization of urban water resource systems. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/938722

Chicago Manual of Style (16th Edition):

Mortazavi Naeini, Seyed Mohammad. “Multi-objective optimization of urban water resource systems.” 2013. Doctoral Dissertation, University of Newcastle. Accessed January 27, 2021. http://hdl.handle.net/1959.13/938722.

MLA Handbook (7th Edition):

Mortazavi Naeini, Seyed Mohammad. “Multi-objective optimization of urban water resource systems.” 2013. Web. 27 Jan 2021.

Vancouver:

Mortazavi Naeini SM. Multi-objective optimization of urban water resource systems. [Internet] [Doctoral dissertation]. University of Newcastle; 2013. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/1959.13/938722.

Council of Science Editors:

Mortazavi Naeini SM. Multi-objective optimization of urban water resource systems. [Doctoral Dissertation]. University of Newcastle; 2013. Available from: http://hdl.handle.net/1959.13/938722


Syracuse University

8. Gunasekara, R Chulaka. Identification of key players in networks using multi-objective optimization and its applications.

Degree: PhD, Electrical Engineering and Computer Science, 2016, Syracuse University

  Identification of a set of key players, is of interest in many disciplines such as sociology, politics, finance, economics, etc. Although many algorithms have… (more)

Subjects/Keywords: Key Players; Multi-objective optimization; Networks; Engineering

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APA (6th Edition):

Gunasekara, R. C. (2016). Identification of key players in networks using multi-objective optimization and its applications. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/579

Chicago Manual of Style (16th Edition):

Gunasekara, R Chulaka. “Identification of key players in networks using multi-objective optimization and its applications.” 2016. Doctoral Dissertation, Syracuse University. Accessed January 27, 2021. https://surface.syr.edu/etd/579.

MLA Handbook (7th Edition):

Gunasekara, R Chulaka. “Identification of key players in networks using multi-objective optimization and its applications.” 2016. Web. 27 Jan 2021.

Vancouver:

Gunasekara RC. Identification of key players in networks using multi-objective optimization and its applications. [Internet] [Doctoral dissertation]. Syracuse University; 2016. [cited 2021 Jan 27]. Available from: https://surface.syr.edu/etd/579.

Council of Science Editors:

Gunasekara RC. Identification of key players in networks using multi-objective optimization and its applications. [Doctoral Dissertation]. Syracuse University; 2016. Available from: https://surface.syr.edu/etd/579


University of Ontario Institute of Technology

9. Alfughi, Zakiya. Optimal farm design with parabolic shape photovoltaic panels using multi-objective optimization.

Degree: 2015, University of Ontario Institute of Technology

 To acquire the maximum efficiency for solar electricity conversion, a solar panel has to absorb nearly every single photon of light emitted from the sun.… (more)

Subjects/Keywords: Photovoltaic; Parabolic trough panel; Multi-objective optimization

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APA (6th Edition):

Alfughi, Z. (2015). Optimal farm design with parabolic shape photovoltaic panels using multi-objective optimization. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/548

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):

Alfughi, Zakiya. “Optimal farm design with parabolic shape photovoltaic panels using multi-objective optimization.” 2015. Thesis, University of Ontario Institute of Technology. Accessed January 27, 2021. http://hdl.handle.net/10155/548.

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

MLA Handbook (7th Edition):

Alfughi, Zakiya. “Optimal farm design with parabolic shape photovoltaic panels using multi-objective optimization.” 2015. Web. 27 Jan 2021.

Vancouver:

Alfughi Z. Optimal farm design with parabolic shape photovoltaic panels using multi-objective optimization. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/10155/548.

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

Council of Science Editors:

Alfughi Z. Optimal farm design with parabolic shape photovoltaic panels using multi-objective optimization. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/548

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


Virginia Tech

10. Shoghli, Omidreza. A Decison Support System for Multi-Objective Multi-Asset Roadway Asset Management.

Degree: PhD, Civil Engineering, 2014, Virginia Tech

 The limited available budget along with old aging infrastructure in nation magnifies the role of strategic decision making for maintenance of infrastructure. The challenging objective(more)

Subjects/Keywords: Roadway Asset Management; Multi-Objective Optimization

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APA (6th Edition):

Shoghli, O. (2014). A Decison Support System for Multi-Objective Multi-Asset Roadway Asset Management. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64775

Chicago Manual of Style (16th Edition):

Shoghli, Omidreza. “A Decison Support System for Multi-Objective Multi-Asset Roadway Asset Management.” 2014. Doctoral Dissertation, Virginia Tech. Accessed January 27, 2021. http://hdl.handle.net/10919/64775.

MLA Handbook (7th Edition):

Shoghli, Omidreza. “A Decison Support System for Multi-Objective Multi-Asset Roadway Asset Management.” 2014. Web. 27 Jan 2021.

Vancouver:

Shoghli O. A Decison Support System for Multi-Objective Multi-Asset Roadway Asset Management. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/10919/64775.

Council of Science Editors:

Shoghli O. A Decison Support System for Multi-Objective Multi-Asset Roadway Asset Management. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64775


Georgia Tech

11. Herszterg, Ian. Efficient algorithms for solving multi-objective optimization and large-scale transportation problems.

Degree: PhD, Industrial and Systems Engineering, 2020, Georgia Tech

 In this thesis, we address two challenges: solving multi-objective integer programs and solving large-scale transportation problems. In Chapter 2, we present a novel fast and… (more)

Subjects/Keywords: Multi-objective optimization; Transportation problems; Heuristics

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APA (6th Edition):

Herszterg, I. (2020). Efficient algorithms for solving multi-objective optimization and large-scale transportation problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63666

Chicago Manual of Style (16th Edition):

Herszterg, Ian. “Efficient algorithms for solving multi-objective optimization and large-scale transportation problems.” 2020. Doctoral Dissertation, Georgia Tech. Accessed January 27, 2021. http://hdl.handle.net/1853/63666.

MLA Handbook (7th Edition):

Herszterg, Ian. “Efficient algorithms for solving multi-objective optimization and large-scale transportation problems.” 2020. Web. 27 Jan 2021.

Vancouver:

Herszterg I. Efficient algorithms for solving multi-objective optimization and large-scale transportation problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/1853/63666.

Council of Science Editors:

Herszterg I. Efficient algorithms for solving multi-objective optimization and large-scale transportation problems. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63666


University of Akron

12. Kennedy, Marla J. Multi-Objective Optimization of Conventional Surface Water Treatment Processes.

Degree: PhD, Civil Engineering, 2016, University of Akron

Optimization of the coagulation/oxidation process in drinking water treatment is essential to ensure that high quality drinking water is provided at minimal cost to the… (more)

Subjects/Keywords: Engineering; Multi objective optimization, coagulation, fluorescence

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APA (6th Edition):

Kennedy, M. J. (2016). Multi-Objective Optimization of Conventional Surface Water Treatment Processes. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1477332989340079

Chicago Manual of Style (16th Edition):

Kennedy, Marla J. “Multi-Objective Optimization of Conventional Surface Water Treatment Processes.” 2016. Doctoral Dissertation, University of Akron. Accessed January 27, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron1477332989340079.

MLA Handbook (7th Edition):

Kennedy, Marla J. “Multi-Objective Optimization of Conventional Surface Water Treatment Processes.” 2016. Web. 27 Jan 2021.

Vancouver:

Kennedy MJ. Multi-Objective Optimization of Conventional Surface Water Treatment Processes. [Internet] [Doctoral dissertation]. University of Akron; 2016. [cited 2021 Jan 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1477332989340079.

Council of Science Editors:

Kennedy MJ. Multi-Objective Optimization of Conventional Surface Water Treatment Processes. [Doctoral Dissertation]. University of Akron; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1477332989340079


University of Minnesota

13. Sullivan, Thomas Adam. Multi-domain multi-objective optimization of mechanisms: a general method with two case studies.

Degree: MS, 2013, University of Minnesota

 While the design of mechanisms is a well-studied field, current optimization techniques generally focus on the kinematics and dynamics and relegate other aspects of the… (more)

Subjects/Keywords: Evolutionary Algorithm; Genetic Algorithm; Mechanisms; Multi-domain; Multi-objective; Optimization

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APA (6th Edition):

Sullivan, T. A. (2013). Multi-domain multi-objective optimization of mechanisms: a general method with two case studies. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162401

Chicago Manual of Style (16th Edition):

Sullivan, Thomas Adam. “Multi-domain multi-objective optimization of mechanisms: a general method with two case studies.” 2013. Masters Thesis, University of Minnesota. Accessed January 27, 2021. http://hdl.handle.net/11299/162401.

MLA Handbook (7th Edition):

Sullivan, Thomas Adam. “Multi-domain multi-objective optimization of mechanisms: a general method with two case studies.” 2013. Web. 27 Jan 2021.

Vancouver:

Sullivan TA. Multi-domain multi-objective optimization of mechanisms: a general method with two case studies. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/11299/162401.

Council of Science Editors:

Sullivan TA. Multi-domain multi-objective optimization of mechanisms: a general method with two case studies. [Masters Thesis]. University of Minnesota; 2013. Available from: http://hdl.handle.net/11299/162401


Virginia Tech

14. Young, Alexander Rian. Unified Multi-domain Decision Making: Cognitive Radio and Autonomous Vehicle Convergence.

Degree: PhD, Electrical Engineering, 2013, Virginia Tech

 This dissertation presents the theory, design, implementation and successful deployment of a cognitive engine decision algorithm by which a cognitive radio-equipped mobile robot may adapt… (more)

Subjects/Keywords: Cognitive Radio; Autonomous Vehicles; Multi-domain Decision Making; Multi-objective Optimization

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APA (6th Edition):

Young, A. R. (2013). Unified Multi-domain Decision Making: Cognitive Radio and Autonomous Vehicle Convergence. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19295

Chicago Manual of Style (16th Edition):

Young, Alexander Rian. “Unified Multi-domain Decision Making: Cognitive Radio and Autonomous Vehicle Convergence.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 27, 2021. http://hdl.handle.net/10919/19295.

MLA Handbook (7th Edition):

Young, Alexander Rian. “Unified Multi-domain Decision Making: Cognitive Radio and Autonomous Vehicle Convergence.” 2013. Web. 27 Jan 2021.

Vancouver:

Young AR. Unified Multi-domain Decision Making: Cognitive Radio and Autonomous Vehicle Convergence. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/10919/19295.

Council of Science Editors:

Young AR. Unified Multi-domain Decision Making: Cognitive Radio and Autonomous Vehicle Convergence. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19295


University of Pretoria

15. Dymond, Antoine Smith Dryden. Multiple objective optimization of an airfoil shape.

Degree: Mechanical and Aeronautical Engineering, 2011, University of Pretoria

 An airfoil shape optimization problem with conflicting objectives is handled using two different multi-objective approaches. These are an a priori scalarization approach where the conflicting… (more)

Subjects/Keywords: Real-world optimization; Multi-objective optimization; Undefined regions; UCTD

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APA (6th Edition):

Dymond, A. S. D. (2011). Multiple objective optimization of an airfoil shape. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/22939

Chicago Manual of Style (16th Edition):

Dymond, Antoine Smith Dryden. “Multiple objective optimization of an airfoil shape.” 2011. Masters Thesis, University of Pretoria. Accessed January 27, 2021. http://hdl.handle.net/2263/22939.

MLA Handbook (7th Edition):

Dymond, Antoine Smith Dryden. “Multiple objective optimization of an airfoil shape.” 2011. Web. 27 Jan 2021.

Vancouver:

Dymond ASD. Multiple objective optimization of an airfoil shape. [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/2263/22939.

Council of Science Editors:

Dymond ASD. Multiple objective optimization of an airfoil shape. [Masters Thesis]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/22939


Kyoto University / 京都大学

16. Kaji, Hirotaka. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合.

Degree: 博士(情報学), 2008, Kyoto University / 京都大学

 The aim of this thesis is establishment of an overall framework of a novel control parameter optimization of automotive engine. Today, control parameters of an… (more)

Subjects/Keywords: evolutionary multi-objective optimization; engine calibration; experiment-based optimization

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APA (6th Edition):

Kaji, H. (2008). Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187

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):

Kaji, Hirotaka. “Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合.” 2008. Thesis, Kyoto University / 京都大学. Accessed January 27, 2021. http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187.

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

MLA Handbook (7th Edition):

Kaji, Hirotaka. “Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合.” 2008. Web. 27 Jan 2021.

Vancouver:

Kaji H. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合. [Internet] [Thesis]. Kyoto University / 京都大学; 2008. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187.

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

Council of Science Editors:

Kaji H. Automotive Engine Calibration with Experiment-Based Evolutionary Multi-objective Optimization : 実験ベース進化的多目的最適化による自動車用エンジンの適合. [Thesis]. Kyoto University / 京都大学; 2008. Available from: http://hdl.handle.net/2433/71034 ; http://dx.doi.org/10.14989/doctor.k14187

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


Penn State University

17. Christian, Andrew W. A Multi-objective Evolutionary Optimization Approach to Procedural Noise Mitigation for Near-ground Aircraft.

Degree: 2013, Penn State University

 This thesis demonstrates the viability and utility of using contemporary multi-objective evolutionary algorithms to minimize the noise impact of military aircraft on residential areas in… (more)

Subjects/Keywords: Acoustics; Aircraft noise; Community noise; Multi-objective optimization; Evolutionary optimization

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

APA (6th Edition):

Christian, A. W. (2013). A Multi-objective Evolutionary Optimization Approach to Procedural Noise Mitigation for Near-ground Aircraft. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17566

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):

Christian, Andrew W. “A Multi-objective Evolutionary Optimization Approach to Procedural Noise Mitigation for Near-ground Aircraft.” 2013. Thesis, Penn State University. Accessed January 27, 2021. https://submit-etda.libraries.psu.edu/catalog/17566.

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

MLA Handbook (7th Edition):

Christian, Andrew W. “A Multi-objective Evolutionary Optimization Approach to Procedural Noise Mitigation for Near-ground Aircraft.” 2013. Web. 27 Jan 2021.

Vancouver:

Christian AW. A Multi-objective Evolutionary Optimization Approach to Procedural Noise Mitigation for Near-ground Aircraft. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Jan 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/17566.

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

Council of Science Editors:

Christian AW. A Multi-objective Evolutionary Optimization Approach to Procedural Noise Mitigation for Near-ground Aircraft. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/17566

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


Delft University of Technology

18. Goldschmeding, Marcel (author). Multi-Objective Trajectory Optimization for a Scaled Vehicle.

Degree: 2019, Delft University of Technology

 The introduction of control systems in the automotive industry has significantly increased safety. Improved control over the vehicle dynamics has been shown to contribute to… (more)

Subjects/Keywords: Multi-objective optimization; Drifting; Splines; Parameter Identification; vehicle dynamics; Trajectory optimization

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

APA (6th Edition):

Goldschmeding, M. (. (2019). Multi-Objective Trajectory Optimization for a Scaled Vehicle. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:92853368-5495-438c-955f-b9b310dec2d5

Chicago Manual of Style (16th Edition):

Goldschmeding, Marcel (author). “Multi-Objective Trajectory Optimization for a Scaled Vehicle.” 2019. Masters Thesis, Delft University of Technology. Accessed January 27, 2021. http://resolver.tudelft.nl/uuid:92853368-5495-438c-955f-b9b310dec2d5.

MLA Handbook (7th Edition):

Goldschmeding, Marcel (author). “Multi-Objective Trajectory Optimization for a Scaled Vehicle.” 2019. Web. 27 Jan 2021.

Vancouver:

Goldschmeding M(. Multi-Objective Trajectory Optimization for a Scaled Vehicle. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 27]. Available from: http://resolver.tudelft.nl/uuid:92853368-5495-438c-955f-b9b310dec2d5.

Council of Science Editors:

Goldschmeding M(. Multi-Objective Trajectory Optimization for a Scaled Vehicle. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:92853368-5495-438c-955f-b9b310dec2d5


Delft University of Technology

19. Bernal Mencia, Pablo (author). Co-orbital motion and its application to JAXA's MMX mission.

Degree: 2018, Delft University of Technology

In the framework of JAXA's MMX mission to explore the Martian moon of Phobos, an analysis of the stability of three-dimensional quasi-satellite orbits in the… (more)

Subjects/Keywords: Astrodynamics; Orbit Design; Optimization; Multi-objective optimization; Periodic Orbits; Mars; Python

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APA (6th Edition):

Bernal Mencia, P. (. (2018). Co-orbital motion and its application to JAXA's MMX mission. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3378e0cf-7831-4432-a383-c9c5c8dbce2d

Chicago Manual of Style (16th Edition):

Bernal Mencia, Pablo (author). “Co-orbital motion and its application to JAXA's MMX mission.” 2018. Masters Thesis, Delft University of Technology. Accessed January 27, 2021. http://resolver.tudelft.nl/uuid:3378e0cf-7831-4432-a383-c9c5c8dbce2d.

MLA Handbook (7th Edition):

Bernal Mencia, Pablo (author). “Co-orbital motion and its application to JAXA's MMX mission.” 2018. Web. 27 Jan 2021.

Vancouver:

Bernal Mencia P(. Co-orbital motion and its application to JAXA's MMX mission. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 27]. Available from: http://resolver.tudelft.nl/uuid:3378e0cf-7831-4432-a383-c9c5c8dbce2d.

Council of Science Editors:

Bernal Mencia P(. Co-orbital motion and its application to JAXA's MMX mission. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:3378e0cf-7831-4432-a383-c9c5c8dbce2d


University of Pretoria

20. Dymond, Antoine Smith Dryden. Multiple objective optimization of an airfoil shape .

Degree: 2011, University of Pretoria

 An airfoil shape optimization problem with conflicting objectives is handled using two different multi-objective approaches. These are an a priori scalarization approach where the conflicting… (more)

Subjects/Keywords: Real-world optimization; Multi-objective optimization; Undefined regions; UCTD

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APA (6th Edition):

Dymond, A. S. D. (2011). Multiple objective optimization of an airfoil shape . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-03022011-163939/

Chicago Manual of Style (16th Edition):

Dymond, Antoine Smith Dryden. “Multiple objective optimization of an airfoil shape .” 2011. Masters Thesis, University of Pretoria. Accessed January 27, 2021. http://upetd.up.ac.za/thesis/available/etd-03022011-163939/.

MLA Handbook (7th Edition):

Dymond, Antoine Smith Dryden. “Multiple objective optimization of an airfoil shape .” 2011. Web. 27 Jan 2021.

Vancouver:

Dymond ASD. Multiple objective optimization of an airfoil shape . [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2021 Jan 27]. Available from: http://upetd.up.ac.za/thesis/available/etd-03022011-163939/.

Council of Science Editors:

Dymond ASD. Multiple objective optimization of an airfoil shape . [Masters Thesis]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-03022011-163939/


Loughborough University

21. Le-Corre, Sam. Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms.

Degree: PhD, 2019, Loughborough University

 The work in this thesis examines how complex dynamic systems can be improved and analysed using optimization techniques. A novel technique to systems analysis is… (more)

Subjects/Keywords: system analysis; Multi-Objective Optimization; applied optimization; Many-objective Optimization; Dynamic optimization; Genetic algorithms (GA); Dynamic systems approach; Engine calibration optimisation

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

APA (6th Edition):

Le-Corre, S. (2019). Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms. (Doctoral Dissertation). Loughborough University. Retrieved from https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059

Chicago Manual of Style (16th Edition):

Le-Corre, Sam. “Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms.” 2019. Doctoral Dissertation, Loughborough University. Accessed January 27, 2021. https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059.

MLA Handbook (7th Edition):

Le-Corre, Sam. “Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms.” 2019. Web. 27 Jan 2021.

Vancouver:

Le-Corre S. Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms. [Internet] [Doctoral dissertation]. Loughborough University; 2019. [cited 2021 Jan 27]. Available from: https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059.

Council of Science Editors:

Le-Corre S. Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms. [Doctoral Dissertation]. Loughborough University; 2019. Available from: https://doi.org/10.26174/thesis.lboro.11950050.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.804059

22. Guzmán Pardo, María Alejandra. Técnicas de otimização baseadas em quimiotaxia de bactérias.

Degree: PhD, Projeto Mecânico, 2009, University of São Paulo

Em sentido geral, a quimiotaxia é o movimento dirigido que desenvolvem alguns seres vivos em resposta aos gradientes químicos presentes no seu ambiente. Uma bactéria… (more)

Subjects/Keywords: Bacterial chemotaxis; Multi-objective optimization; Otimização multi-objetivo; Otimização topológica; Quimiotaxia de bactérias; Topology optimization

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

APA (6th Edition):

Guzmán Pardo, M. A. (2009). Técnicas de otimização baseadas em quimiotaxia de bactérias. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18146/tde-19012011-120319/ ;

Chicago Manual of Style (16th Edition):

Guzmán Pardo, María Alejandra. “Técnicas de otimização baseadas em quimiotaxia de bactérias.” 2009. Doctoral Dissertation, University of São Paulo. Accessed January 27, 2021. http://www.teses.usp.br/teses/disponiveis/18/18146/tde-19012011-120319/ ;.

MLA Handbook (7th Edition):

Guzmán Pardo, María Alejandra. “Técnicas de otimização baseadas em quimiotaxia de bactérias.” 2009. Web. 27 Jan 2021.

Vancouver:

Guzmán Pardo MA. Técnicas de otimização baseadas em quimiotaxia de bactérias. [Internet] [Doctoral dissertation]. University of São Paulo; 2009. [cited 2021 Jan 27]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18146/tde-19012011-120319/ ;.

Council of Science Editors:

Guzmán Pardo MA. Técnicas de otimização baseadas em quimiotaxia de bactérias. [Doctoral Dissertation]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/18/18146/tde-19012011-120319/ ;


Penn State University

23. Nagar, Jogender. EFFICIENT AND ROBUST MULTI-OBJECTIVE OPTIMIZATION APPLIED TO PROBLEMS IN ELECTROSTATICS, ELECTROMAGNETICS AND OPTICS.

Degree: 2018, Penn State University

 Most design problems in electromagnetics and optics have multiple, often conflicting design objectives. A classic example is performance vs. price, where the designer is forced… (more)

Subjects/Keywords: Multi-objective optimization; optimization; electromagnetics; optics; gradient-index lens; antennas; electrostatics; topology optimization

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

APA (6th Edition):

Nagar, J. (2018). EFFICIENT AND ROBUST MULTI-OBJECTIVE OPTIMIZATION APPLIED TO PROBLEMS IN ELECTROSTATICS, ELECTROMAGNETICS AND OPTICS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16027jun163

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):

Nagar, Jogender. “EFFICIENT AND ROBUST MULTI-OBJECTIVE OPTIMIZATION APPLIED TO PROBLEMS IN ELECTROSTATICS, ELECTROMAGNETICS AND OPTICS.” 2018. Thesis, Penn State University. Accessed January 27, 2021. https://submit-etda.libraries.psu.edu/catalog/16027jun163.

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

MLA Handbook (7th Edition):

Nagar, Jogender. “EFFICIENT AND ROBUST MULTI-OBJECTIVE OPTIMIZATION APPLIED TO PROBLEMS IN ELECTROSTATICS, ELECTROMAGNETICS AND OPTICS.” 2018. Web. 27 Jan 2021.

Vancouver:

Nagar J. EFFICIENT AND ROBUST MULTI-OBJECTIVE OPTIMIZATION APPLIED TO PROBLEMS IN ELECTROSTATICS, ELECTROMAGNETICS AND OPTICS. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Jan 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/16027jun163.

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

Council of Science Editors:

Nagar J. EFFICIENT AND ROBUST MULTI-OBJECTIVE OPTIMIZATION APPLIED TO PROBLEMS IN ELECTROSTATICS, ELECTROMAGNETICS AND OPTICS. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/16027jun163

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


University of New South Wales

24. Singh, Hemant. Development of optimization methods to deal with current challenges in engineering design optimization.

Degree: Engineering & Information Technology, 2011, University of New South Wales

 In engineering design, optimization is customary, and often indispensable. Typical cases include minimization of drag for vehicles, minimization of weight for structures like buildings and… (more)

Subjects/Keywords: Coevolutionary algorithms; Engineering design optimization; Optimization algorithms; Metaheuristic algorithms; Multi-objective optimization algorithms

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APA (6th Edition):

Singh, H. (2011). Development of optimization methods to deal with current challenges in engineering design optimization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10110/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Singh, Hemant. “Development of optimization methods to deal with current challenges in engineering design optimization.” 2011. Doctoral Dissertation, University of New South Wales. Accessed January 27, 2021. http://handle.unsw.edu.au/1959.4/51426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10110/SOURCE01?view=true.

MLA Handbook (7th Edition):

Singh, Hemant. “Development of optimization methods to deal with current challenges in engineering design optimization.” 2011. Web. 27 Jan 2021.

Vancouver:

Singh H. Development of optimization methods to deal with current challenges in engineering design optimization. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2021 Jan 27]. Available from: http://handle.unsw.edu.au/1959.4/51426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10110/SOURCE01?view=true.

Council of Science Editors:

Singh H. Development of optimization methods to deal with current challenges in engineering design optimization. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10110/SOURCE01?view=true


Jönköping University

25. Amouzgar, Kaveh. Multi-objective optimization using Genetic Algorithms.

Degree: Engineering, 2012, Jönköping University

  In this thesis, the basic principles and concepts of single and multi-objective Genetic Algorithms (GA) are reviewed. Two algorithms, one for single objective and… (more)

Subjects/Keywords: Single Objective Optimization; Multi-objective Optimization; Constraint Handling; Hybrid Optimization; Evolutionary Algorithm; Genetic Algorithm; Pareto-Front; Domination

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APA (6th Edition):

Amouzgar, K. (2012). Multi-objective optimization using Genetic Algorithms. (Thesis). Jönköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19851

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):

Amouzgar, Kaveh. “Multi-objective optimization using Genetic Algorithms.” 2012. Thesis, Jönköping University. Accessed January 27, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19851.

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

MLA Handbook (7th Edition):

Amouzgar, Kaveh. “Multi-objective optimization using Genetic Algorithms.” 2012. Web. 27 Jan 2021.

Vancouver:

Amouzgar K. Multi-objective optimization using Genetic Algorithms. [Internet] [Thesis]. Jönköping University; 2012. [cited 2021 Jan 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19851.

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

Council of Science Editors:

Amouzgar K. Multi-objective optimization using Genetic Algorithms. [Thesis]. Jönköping University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19851

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

26. Pennada, Venkata Sai Teja. Solving Multiple Objective Optimization Problem using Multi-Agent Systems: A case in Logistics Management.

Degree: 2020, , Department of Computer Science

  Background: Multiple Objective Optimization problems(MOOPs) are common and evident in every field. Container port terminals are one of the fields in which MOOP occurs.… (more)

Subjects/Keywords: Multiple Objective Optimization Problem; Non-dominated Sorting Genetic Algorithm-II; Multi-agent systems; Multi-objective optimization model; Single-objective optimization model.; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Pennada, V. S. T. (2020). Solving Multiple Objective Optimization Problem using Multi-Agent Systems: A case in Logistics Management. (Thesis). , Department of Computer Science. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20745

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):

Pennada, Venkata Sai Teja. “Solving Multiple Objective Optimization Problem using Multi-Agent Systems: A case in Logistics Management.” 2020. Thesis, , Department of Computer Science. Accessed January 27, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20745.

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

MLA Handbook (7th Edition):

Pennada, Venkata Sai Teja. “Solving Multiple Objective Optimization Problem using Multi-Agent Systems: A case in Logistics Management.” 2020. Web. 27 Jan 2021.

Vancouver:

Pennada VST. Solving Multiple Objective Optimization Problem using Multi-Agent Systems: A case in Logistics Management. [Internet] [Thesis]. , Department of Computer Science; 2020. [cited 2021 Jan 27]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20745.

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

Council of Science Editors:

Pennada VST. Solving Multiple Objective Optimization Problem using Multi-Agent Systems: A case in Logistics Management. [Thesis]. , Department of Computer Science; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20745

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


NSYSU

27. Chen, Shin-shou. A Study of Multi-objective Genetic Models for Stock Selection.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

 Stock selection has long been recognized as a challenging and important task in finance. Recent advances in machine learning and data mining are leading to… (more)

Subjects/Keywords: genetic algorithms; stock selection; asset allocation; feature selection; multi-objective optimization

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

APA (6th Edition):

Chen, S. (2014). A Study of Multi-objective Genetic Models for Stock Selection. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725114-101833

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, Shin-shou. “A Study of Multi-objective Genetic Models for Stock Selection.” 2014. Thesis, NSYSU. Accessed January 27, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725114-101833.

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

MLA Handbook (7th Edition):

Chen, Shin-shou. “A Study of Multi-objective Genetic Models for Stock Selection.” 2014. Web. 27 Jan 2021.

Vancouver:

Chen S. A Study of Multi-objective Genetic Models for Stock Selection. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Jan 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725114-101833.

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

Council of Science Editors:

Chen S. A Study of Multi-objective Genetic Models for Stock Selection. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725114-101833

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


NSYSU

28. Huang , Yao-ting. Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization.

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

 The so-called multi-objective optimization problem (MOP) has become a critical research subject because many multi-objective optimization problems exist in our daily life. Unlike solving a… (more)

Subjects/Keywords: NSGA-II; pareto optimality; multi-objective problems; firefly algorithm; functional optimization

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APA (6th Edition):

Huang , Y. (2015). Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831

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):

Huang , Yao-ting. “Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization.” 2015. Thesis, NSYSU. Accessed January 27, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831.

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

MLA Handbook (7th Edition):

Huang , Yao-ting. “Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization.” 2015. Web. 27 Jan 2021.

Vancouver:

Huang Y. Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Jan 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831.

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

Council of Science Editors:

Huang Y. Non-dominated Sorting Firefly Algorithm for Multi-objective Optimization. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806115-162831

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

29. Elmusrati, Mohammed S. Radio Resource Scheduling and Smart Antennas in Cellular CDMA Communication Systems.

Degree: 2004, Helsinki University of Technology

This thesis discusses two important subjects in multi-user wireless communication systems, radio resource scheduler (RRS) and smart antenna. RRS optimizes the available resources among users… (more)

Subjects/Keywords: CDMA; power control; RRS; smart antennas; multi-objective optimization; Kalman filters

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

APA (6th Edition):

Elmusrati, M. S. (2004). Radio Resource Scheduling and Smart Antennas in Cellular CDMA Communication Systems. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2004/isbn9512272202/

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):

Elmusrati, Mohammed S. “Radio Resource Scheduling and Smart Antennas in Cellular CDMA Communication Systems.” 2004. Thesis, Helsinki University of Technology. Accessed January 27, 2021. http://lib.tkk.fi/Diss/2004/isbn9512272202/.

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

MLA Handbook (7th Edition):

Elmusrati, Mohammed S. “Radio Resource Scheduling and Smart Antennas in Cellular CDMA Communication Systems.” 2004. Web. 27 Jan 2021.

Vancouver:

Elmusrati MS. Radio Resource Scheduling and Smart Antennas in Cellular CDMA Communication Systems. [Internet] [Thesis]. Helsinki University of Technology; 2004. [cited 2021 Jan 27]. Available from: http://lib.tkk.fi/Diss/2004/isbn9512272202/.

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

Council of Science Editors:

Elmusrati MS. Radio Resource Scheduling and Smart Antennas in Cellular CDMA Communication Systems. [Thesis]. Helsinki University of Technology; 2004. Available from: http://lib.tkk.fi/Diss/2004/isbn9512272202/

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


Mississippi State University

30. Zhang, Jian. Techno-economic analysis and optimization of distributed energy systems.

Degree: PhD, Mechanical Engineering, 2018, Mississippi State University

  As a promising approach for sustainable development, distributed energy systems have receive increasing attention worldwide and have become a key topic explored by researchers… (more)

Subjects/Keywords: payback period; multi-objective optimization; distributed energy systems; Techno-economic analysis

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

APA (6th Edition):

Zhang, J. (2018). Techno-economic analysis and optimization of distributed energy systems. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06222018-180048/ ;

Chicago Manual of Style (16th Edition):

Zhang, Jian. “Techno-economic analysis and optimization of distributed energy systems.” 2018. Doctoral Dissertation, Mississippi State University. Accessed January 27, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06222018-180048/ ;.

MLA Handbook (7th Edition):

Zhang, Jian. “Techno-economic analysis and optimization of distributed energy systems.” 2018. Web. 27 Jan 2021.

Vancouver:

Zhang J. Techno-economic analysis and optimization of distributed energy systems. [Internet] [Doctoral dissertation]. Mississippi State University; 2018. [cited 2021 Jan 27]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06222018-180048/ ;.

Council of Science Editors:

Zhang J. Techno-economic analysis and optimization of distributed energy systems. [Doctoral Dissertation]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06222018-180048/ ;

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