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You searched for subject:(Swarm Intelligence). Showing records 1 – 30 of 255 total matches.

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Western Carolina University

1. Proffitt, Matthew R. Optimization of swarm robotic constellation communication for object detection and event recognition.

Degree: 2011, Western Carolina University

Swarm robotics research describes the study of how a group of relatively simple physically embodied agents can, through their interaction collectively accomplish tasks which are… (more)

Subjects/Keywords: Robotics; Swarm intelligence

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APA (6th Edition):

Proffitt, M. R. (2011). Optimization of swarm robotic constellation communication for object detection and event recognition. (Masters Thesis). Western Carolina University. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=7874

Chicago Manual of Style (16th Edition):

Proffitt, Matthew R. “Optimization of swarm robotic constellation communication for object detection and event recognition.” 2011. Masters Thesis, Western Carolina University. Accessed January 26, 2021. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=7874.

MLA Handbook (7th Edition):

Proffitt, Matthew R. “Optimization of swarm robotic constellation communication for object detection and event recognition.” 2011. Web. 26 Jan 2021.

Vancouver:

Proffitt MR. Optimization of swarm robotic constellation communication for object detection and event recognition. [Internet] [Masters thesis]. Western Carolina University; 2011. [cited 2021 Jan 26]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=7874.

Council of Science Editors:

Proffitt MR. Optimization of swarm robotic constellation communication for object detection and event recognition. [Masters Thesis]. Western Carolina University; 2011. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=7874

2. NC DOCKS at Western Carolina University; Proffitt, Matthew R. Optimization of swarm robotic constellation communication for object detection and event recognition.

Degree: 2011, NC Docks

Swarm robotics research describes the study of how a group of relatively simple physically embodied agents can, through their interaction collectively accomplish tasks which are… (more)

Subjects/Keywords: Robotics; Swarm intelligence

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APA (6th Edition):

NC DOCKS at Western Carolina University; Proffitt, M. R. (2011). Optimization of swarm robotic constellation communication for object detection and event recognition. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/wcu/f/Proffitt2011.pdf

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):

NC DOCKS at Western Carolina University; Proffitt, Matthew R. “Optimization of swarm robotic constellation communication for object detection and event recognition.” 2011. Thesis, NC Docks. Accessed January 26, 2021. http://libres.uncg.edu/ir/wcu/f/Proffitt2011.pdf.

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

MLA Handbook (7th Edition):

NC DOCKS at Western Carolina University; Proffitt, Matthew R. “Optimization of swarm robotic constellation communication for object detection and event recognition.” 2011. Web. 26 Jan 2021.

Vancouver:

NC DOCKS at Western Carolina University; Proffitt MR. Optimization of swarm robotic constellation communication for object detection and event recognition. [Internet] [Thesis]. NC Docks; 2011. [cited 2021 Jan 26]. Available from: http://libres.uncg.edu/ir/wcu/f/Proffitt2011.pdf.

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

Council of Science Editors:

NC DOCKS at Western Carolina University; Proffitt MR. Optimization of swarm robotic constellation communication for object detection and event recognition. [Thesis]. NC Docks; 2011. Available from: http://libres.uncg.edu/ir/wcu/f/Proffitt2011.pdf

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


Baylor University

3. Yu, Albert Reynold, 1984-. Optimizing multi-agent dynamics for underwater tactical applications.

Degree: M.S.E.C.E., Engineering., 2011, Baylor University

 Large groups of autonomous agents, or swarms, can exhibit complex emergent behaviors that are difficult to predict and characterize from their low-level interactions. These emergent… (more)

Subjects/Keywords: Swarm intelligence.; Multi-agent systems.; Swarm inversion.

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APA (6th Edition):

Yu, Albert Reynold, 1. (2011). Optimizing multi-agent dynamics for underwater tactical applications. (Masters Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8181

Chicago Manual of Style (16th Edition):

Yu, Albert Reynold, 1984-. “Optimizing multi-agent dynamics for underwater tactical applications.” 2011. Masters Thesis, Baylor University. Accessed January 26, 2021. http://hdl.handle.net/2104/8181.

MLA Handbook (7th Edition):

Yu, Albert Reynold, 1984-. “Optimizing multi-agent dynamics for underwater tactical applications.” 2011. Web. 26 Jan 2021.

Vancouver:

Yu, Albert Reynold 1. Optimizing multi-agent dynamics for underwater tactical applications. [Internet] [Masters thesis]. Baylor University; 2011. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/2104/8181.

Council of Science Editors:

Yu, Albert Reynold 1. Optimizing multi-agent dynamics for underwater tactical applications. [Masters Thesis]. Baylor University; 2011. Available from: http://hdl.handle.net/2104/8181


University of Delaware

4. Sun, Yu. Modeling and analyzing large swarms with covert leaders.

Degree: PhD, University of Delaware, Department of Mathematical Sciences, 2015, University of Delaware

Swarm dynamics is the study of collections of agents that interact with one another without central control. We would like to build a model to… (more)

Subjects/Keywords: Swarm intelligence  – Mathematical models.

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APA (6th Edition):

Sun, Y. (2015). Modeling and analyzing large swarms with covert leaders. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/17195

Chicago Manual of Style (16th Edition):

Sun, Yu. “Modeling and analyzing large swarms with covert leaders.” 2015. Doctoral Dissertation, University of Delaware. Accessed January 26, 2021. http://udspace.udel.edu/handle/19716/17195.

MLA Handbook (7th Edition):

Sun, Yu. “Modeling and analyzing large swarms with covert leaders.” 2015. Web. 26 Jan 2021.

Vancouver:

Sun Y. Modeling and analyzing large swarms with covert leaders. [Internet] [Doctoral dissertation]. University of Delaware; 2015. [cited 2021 Jan 26]. Available from: http://udspace.udel.edu/handle/19716/17195.

Council of Science Editors:

Sun Y. Modeling and analyzing large swarms with covert leaders. [Doctoral Dissertation]. University of Delaware; 2015. Available from: http://udspace.udel.edu/handle/19716/17195


University of Windsor

5. Zhang, Miao. Digital Filter Design Using Improved Teaching-Learning-Based Optimization.

Degree: PhD, Electrical and Computer Engineering, 2019, University of Windsor

 Digital filters are an important part of digital signal processing systems. Digital filters are divided into finite impulse response (FIR) digital filters and infinite impulse… (more)

Subjects/Keywords: digital filters; swarm intelligence algorithms

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APA (6th Edition):

Zhang, M. (2019). Digital Filter Design Using Improved Teaching-Learning-Based Optimization. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7856

Chicago Manual of Style (16th Edition):

Zhang, Miao. “Digital Filter Design Using Improved Teaching-Learning-Based Optimization.” 2019. Doctoral Dissertation, University of Windsor. Accessed January 26, 2021. https://scholar.uwindsor.ca/etd/7856.

MLA Handbook (7th Edition):

Zhang, Miao. “Digital Filter Design Using Improved Teaching-Learning-Based Optimization.” 2019. Web. 26 Jan 2021.

Vancouver:

Zhang M. Digital Filter Design Using Improved Teaching-Learning-Based Optimization. [Internet] [Doctoral dissertation]. University of Windsor; 2019. [cited 2021 Jan 26]. Available from: https://scholar.uwindsor.ca/etd/7856.

Council of Science Editors:

Zhang M. Digital Filter Design Using Improved Teaching-Learning-Based Optimization. [Doctoral Dissertation]. University of Windsor; 2019. Available from: https://scholar.uwindsor.ca/etd/7856


Vanderbilt University

6. Kirkpatrick, Douglas Andrew. Development And Analysis of Biologically Inspired Communication Algorithms for Artificial Agents.

Degree: MS, Computer Science, 2015, Vanderbilt University

 The capabilities of robots have increased to the point where it is more effective and economical to field a large group of less expensive robots… (more)

Subjects/Keywords: biological swarms; swarm; robotics; swarm intelligence; swarm robotics

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APA (6th Edition):

Kirkpatrick, D. A. (2015). Development And Analysis of Biologically Inspired Communication Algorithms for Artificial Agents. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11788

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):

Kirkpatrick, Douglas Andrew. “Development And Analysis of Biologically Inspired Communication Algorithms for Artificial Agents.” 2015. Thesis, Vanderbilt University. Accessed January 26, 2021. http://hdl.handle.net/1803/11788.

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

MLA Handbook (7th Edition):

Kirkpatrick, Douglas Andrew. “Development And Analysis of Biologically Inspired Communication Algorithms for Artificial Agents.” 2015. Web. 26 Jan 2021.

Vancouver:

Kirkpatrick DA. Development And Analysis of Biologically Inspired Communication Algorithms for Artificial Agents. [Internet] [Thesis]. Vanderbilt University; 2015. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/1803/11788.

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

Council of Science Editors:

Kirkpatrick DA. Development And Analysis of Biologically Inspired Communication Algorithms for Artificial Agents. [Thesis]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/11788

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


Vanderbilt University

7. Cody, Jason Robert. Discrete Consensus Decisions in Human-Collective Teams.

Degree: PhD, Computer Science, 2018, Vanderbilt University

 Robotic collectives are large decentralized robot groups of more than fifty individuals that coordinate using interactions inspired by social insect behaviors. Collectives make group decisions… (more)

Subjects/Keywords: multi-agent systems; swarm intelligence; collective decision making; human-swarm interaction

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APA (6th Edition):

Cody, J. R. (2018). Discrete Consensus Decisions in Human-Collective Teams. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11985

Chicago Manual of Style (16th Edition):

Cody, Jason Robert. “Discrete Consensus Decisions in Human-Collective Teams.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed January 26, 2021. http://hdl.handle.net/1803/11985.

MLA Handbook (7th Edition):

Cody, Jason Robert. “Discrete Consensus Decisions in Human-Collective Teams.” 2018. Web. 26 Jan 2021.

Vancouver:

Cody JR. Discrete Consensus Decisions in Human-Collective Teams. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/1803/11985.

Council of Science Editors:

Cody JR. Discrete Consensus Decisions in Human-Collective Teams. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/11985


NSYSU

8. 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 (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 January 26, 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. 26 Jan 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 Jan 26]. 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

9. 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 (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 January 26, 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. 26 Jan 2021.

Vancouver:

Talukder S. Mathematicle Modelling and Applications of Particle Swarm Optimization. [Internet] [Thesis]. , School of Engineering; 2011. [cited 2021 Jan 26]. 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

10. Sudheer Menon, Vishnu. Decentralized Approach to SLAM using Computationally Limited Robots.

Degree: MS, 2017, Worcester Polytechnic Institute

 Simultaneous localization and mapping (SLAM) is a challenging and vital problem in robotics. It is important in tasks such as disaster response, deep-sea and cave… (more)

Subjects/Keywords: Multi-robot systems; SLAM; Swarm intelligence; Swarm robotics

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APA (6th Edition):

Sudheer Menon, V. (2017). Decentralized Approach to SLAM using Computationally Limited Robots. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-052517-130653 ; https://digitalcommons.wpi.edu/etd-theses/1315

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):

Sudheer Menon, Vishnu. “Decentralized Approach to SLAM using Computationally Limited Robots.” 2017. Thesis, Worcester Polytechnic Institute. Accessed January 26, 2021. etd-052517-130653 ; https://digitalcommons.wpi.edu/etd-theses/1315.

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

MLA Handbook (7th Edition):

Sudheer Menon, Vishnu. “Decentralized Approach to SLAM using Computationally Limited Robots.” 2017. Web. 26 Jan 2021.

Vancouver:

Sudheer Menon V. Decentralized Approach to SLAM using Computationally Limited Robots. [Internet] [Thesis]. Worcester Polytechnic Institute; 2017. [cited 2021 Jan 26]. Available from: etd-052517-130653 ; https://digitalcommons.wpi.edu/etd-theses/1315.

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

Council of Science Editors:

Sudheer Menon V. Decentralized Approach to SLAM using Computationally Limited Robots. [Thesis]. Worcester Polytechnic Institute; 2017. Available from: etd-052517-130653 ; https://digitalcommons.wpi.edu/etd-theses/1315

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


Oregon State University

11. Potanapalli, Kranti Kumar. Coactive learning for multi-robot search and coverage.

Degree: MS, Computer Science, 2013, Oregon State University

 We investigate a search and coverage planning problem, where an area of interest has to be explored by a number of vehicles, given a fixed… (more)

Subjects/Keywords: Coactive Learning; Swarm intelligence  – Mathematical models

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APA (6th Edition):

Potanapalli, K. K. (2013). Coactive learning for multi-robot search and coverage. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/45107

Chicago Manual of Style (16th Edition):

Potanapalli, Kranti Kumar. “Coactive learning for multi-robot search and coverage.” 2013. Masters Thesis, Oregon State University. Accessed January 26, 2021. http://hdl.handle.net/1957/45107.

MLA Handbook (7th Edition):

Potanapalli, Kranti Kumar. “Coactive learning for multi-robot search and coverage.” 2013. Web. 26 Jan 2021.

Vancouver:

Potanapalli KK. Coactive learning for multi-robot search and coverage. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/1957/45107.

Council of Science Editors:

Potanapalli KK. Coactive learning for multi-robot search and coverage. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/45107


Univerzitet u Beogradu

12. Bačanin-Džakula, Nebojša V. , 1983-. Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije.

Degree: Matematički fakultet, 2016, Univerzitet u Beogradu

Računarstvo - Veštačka inteligencija / Computer Science - Artificial Intelligence

Te²ki optimizacioni problemi, nere²ivi u prihvatljivom vremenu izvr²avanja deterministi £kim matemati£kim metodama, uspe²no se poslednjih… (more)

Subjects/Keywords: swarm intelligence metaheuristics; hybrid algorithms; global optimization

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APA (6th Edition):

Bačanin-Džakula, Nebojša V. , 1. (2016). Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:13147/bdef:Content/get

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):

Bačanin-Džakula, Nebojša V. , 1983-. “Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije.” 2016. Thesis, Univerzitet u Beogradu. Accessed January 26, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:13147/bdef:Content/get.

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

MLA Handbook (7th Edition):

Bačanin-Džakula, Nebojša V. , 1983-. “Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije.” 2016. Web. 26 Jan 2021.

Vancouver:

Bačanin-Džakula, Nebojša V. 1. Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2021 Jan 26]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:13147/bdef:Content/get.

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

Council of Science Editors:

Bačanin-Džakula, Nebojša V. 1. Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:13147/bdef:Content/get

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


University of Georgia

13. Geiger, Peter C. A comparison of novel stochastic optimization methods.

Degree: 2015, University of Georgia

 Many real world problems are too complex to solve with traditional programming methods in a reasonable amount of time. Stochastic optimization techniques have been applied… (more)

Subjects/Keywords: Optimization; Genetic Algorithm; Swarm Intelligence; Repair Operators

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APA (6th Edition):

Geiger, P. C. (2015). A comparison of novel stochastic optimization methods. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/32903

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):

Geiger, Peter C. “A comparison of novel stochastic optimization methods.” 2015. Thesis, University of Georgia. Accessed January 26, 2021. http://hdl.handle.net/10724/32903.

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

MLA Handbook (7th Edition):

Geiger, Peter C. “A comparison of novel stochastic optimization methods.” 2015. Web. 26 Jan 2021.

Vancouver:

Geiger PC. A comparison of novel stochastic optimization methods. [Internet] [Thesis]. University of Georgia; 2015. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10724/32903.

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

Council of Science Editors:

Geiger PC. A comparison of novel stochastic optimization methods. [Thesis]. University of Georgia; 2015. Available from: http://hdl.handle.net/10724/32903

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


The Ohio State University

14. Gazi, Veysel. Stability analysis of swarms.

Degree: PhD, Graduate School, 2002, The Ohio State University

Subjects/Keywords: Engineering; Swarm intelligence

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APA (6th Edition):

Gazi, V. (2002). Stability analysis of swarms. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486463321623482

Chicago Manual of Style (16th Edition):

Gazi, Veysel. “Stability analysis of swarms.” 2002. Doctoral Dissertation, The Ohio State University. Accessed January 26, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486463321623482.

MLA Handbook (7th Edition):

Gazi, Veysel. “Stability analysis of swarms.” 2002. Web. 26 Jan 2021.

Vancouver:

Gazi V. Stability analysis of swarms. [Internet] [Doctoral dissertation]. The Ohio State University; 2002. [cited 2021 Jan 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486463321623482.

Council of Science Editors:

Gazi V. Stability analysis of swarms. [Doctoral Dissertation]. The Ohio State University; 2002. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486463321623482


Vanderbilt University

15. Sengupta, Saptarshi. QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

 With sensor fusion and data-driven approaches taking center stage in ubiquitous computing, customized and application-specific optimization methods are increasingly important. The interest follows in part… (more)

Subjects/Keywords: quantum-inspired computational intelligence; stochastic optimization; particle swarm optimization; multiagent systems; swarm intelligence; distributed artificial intelligence

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APA (6th Edition):

Sengupta, S. (2019). QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14438

Chicago Manual of Style (16th Edition):

Sengupta, Saptarshi. “QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed January 26, 2021. http://hdl.handle.net/1803/14438.

MLA Handbook (7th Edition):

Sengupta, Saptarshi. “QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives.” 2019. Web. 26 Jan 2021.

Vancouver:

Sengupta S. QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/1803/14438.

Council of Science Editors:

Sengupta S. QDDS – A Novel Quantum-inspired Swarm Optimizer: Theoretical Foundations, Convergence Analyses and Application Perspectives. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/14438


Brno University of Technology

16. Winklerová, Zdenka. Inteligence skupiny: Swarm Intelligence.

Degree: 2019, Brno University of Technology

 The intention of the dissertation is the applied research of the collective ( group ) ( swarm ) intelligence . To demonstrate the applicability of the… (more)

Subjects/Keywords: Kolektivní inteligence;   inteligence skupiny; rojová inteligence; optimalizace rojem částic; Collective intelligence;   group intelligence; swarm intelligence; particle swarm optimization.

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

APA (6th Edition):

Winklerová, Z. (2019). Inteligence skupiny: Swarm Intelligence. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/63276

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):

Winklerová, Zdenka. “Inteligence skupiny: Swarm Intelligence.” 2019. Thesis, Brno University of Technology. Accessed January 26, 2021. http://hdl.handle.net/11012/63276.

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

MLA Handbook (7th Edition):

Winklerová, Zdenka. “Inteligence skupiny: Swarm Intelligence.” 2019. Web. 26 Jan 2021.

Vancouver:

Winklerová Z. Inteligence skupiny: Swarm Intelligence. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11012/63276.

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

Council of Science Editors:

Winklerová Z. Inteligence skupiny: Swarm Intelligence. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/63276

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

17. 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 January 26, 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. 26 Jan 2021.

Vancouver:

Kelman A. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. [Internet] [Thesis]. University of Skövde; 2017. [cited 2021 Jan 26]. 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

18. Magg, Sven. Self-organised task differentiation in homogeneous and heterogeneous groups of autonomous agents.

Degree: PhD, 2012, University of Hertfordshire

 The field of swarm robotics has been growing fast over the last few years. Using a swarm of simple and cheap robots has advantages in… (more)

Subjects/Keywords: 629.892; self-organisation; differentiation; talk allocation; adaptive behaviour; swarm intelligence; multi-agent-systems; swarm robotics

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

APA (6th Edition):

Magg, S. (2012). Self-organised task differentiation in homogeneous and heterogeneous groups of autonomous agents. (Doctoral Dissertation). University of Hertfordshire. Retrieved from http://hdl.handle.net/2299/9038

Chicago Manual of Style (16th Edition):

Magg, Sven. “Self-organised task differentiation in homogeneous and heterogeneous groups of autonomous agents.” 2012. Doctoral Dissertation, University of Hertfordshire. Accessed January 26, 2021. http://hdl.handle.net/2299/9038.

MLA Handbook (7th Edition):

Magg, Sven. “Self-organised task differentiation in homogeneous and heterogeneous groups of autonomous agents.” 2012. Web. 26 Jan 2021.

Vancouver:

Magg S. Self-organised task differentiation in homogeneous and heterogeneous groups of autonomous agents. [Internet] [Doctoral dissertation]. University of Hertfordshire; 2012. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/2299/9038.

Council of Science Editors:

Magg S. Self-organised task differentiation in homogeneous and heterogeneous groups of autonomous agents. [Doctoral Dissertation]. University of Hertfordshire; 2012. Available from: http://hdl.handle.net/2299/9038


University of Georgia

19. Oruganti Venkata, Sanjay Sarma. A swarm engineering framework for microtubule self-organization.

Degree: 2018, University of Georgia

 Microtubules are highly dynamic polymers distributed in the cytoplasm of a biological cell. Alpha and beta tubulins combine to form these tubules through polymerization, controlled… (more)

Subjects/Keywords: Microtubules; Microtubule Associated Proteins; Self-Organization; Swarm Engineering; Swarm Intelligence; Game Engine; Protofilaments

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

APA (6th Edition):

Oruganti Venkata, S. S. (2018). A swarm engineering framework for microtubule self-organization. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37465

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):

Oruganti Venkata, Sanjay Sarma. “A swarm engineering framework for microtubule self-organization.” 2018. Thesis, University of Georgia. Accessed January 26, 2021. http://hdl.handle.net/10724/37465.

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

MLA Handbook (7th Edition):

Oruganti Venkata, Sanjay Sarma. “A swarm engineering framework for microtubule self-organization.” 2018. Web. 26 Jan 2021.

Vancouver:

Oruganti Venkata SS. A swarm engineering framework for microtubule self-organization. [Internet] [Thesis]. University of Georgia; 2018. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/10724/37465.

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

Council of Science Editors:

Oruganti Venkata SS. A swarm engineering framework for microtubule self-organization. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/37465

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


University of New Mexico

20. Lu, Qi. An Efficient Multiple-Place Foraging Algorithm for Scalable Robot Swarms.

Degree: Department of Computer Science, 2019, University of New Mexico

  Searching and collecting multiple resources from large unmapped environments is an important challenge. It is particularly difficult given limited time, a large search area… (more)

Subjects/Keywords: Swarm Robotics; Swarm Intelligence; Bio-Inspired Robot Swarm; Autonomous Robot; Foraging Robots; Multi-agent Systems; Robotics

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

APA (6th Edition):

Lu, Q. (2019). An Efficient Multiple-Place Foraging Algorithm for Scalable Robot Swarms. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/cs_etds/100

Chicago Manual of Style (16th Edition):

Lu, Qi. “An Efficient Multiple-Place Foraging Algorithm for Scalable Robot Swarms.” 2019. Doctoral Dissertation, University of New Mexico. Accessed January 26, 2021. https://digitalrepository.unm.edu/cs_etds/100.

MLA Handbook (7th Edition):

Lu, Qi. “An Efficient Multiple-Place Foraging Algorithm for Scalable Robot Swarms.” 2019. Web. 26 Jan 2021.

Vancouver:

Lu Q. An Efficient Multiple-Place Foraging Algorithm for Scalable Robot Swarms. [Internet] [Doctoral dissertation]. University of New Mexico; 2019. [cited 2021 Jan 26]. Available from: https://digitalrepository.unm.edu/cs_etds/100.

Council of Science Editors:

Lu Q. An Efficient Multiple-Place Foraging Algorithm for Scalable Robot Swarms. [Doctoral Dissertation]. University of New Mexico; 2019. Available from: https://digitalrepository.unm.edu/cs_etds/100


Brno University of Technology

21. Veselý, Filip. Optimalizační úlohy na bázi částicových hejn (PSO): PSO-Particle Swarm Optimizations.

Degree: 2016, Brno University of Technology

 This work deals with swarm intelligence, strictly speaking particle swarm intelligence. It shortly describes questions of optimization and some optimization techniques. Part of this work… (more)

Subjects/Keywords: umělá inteligence; inteligence roje; částicové hejno; optimalizace; PSO; artificial intelligence; swarm intelligence; particle swarm; optimization; PSO

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

APA (6th Edition):

Veselý, F. (2016). Optimalizační úlohy na bázi částicových hejn (PSO): PSO-Particle Swarm Optimizations. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53237

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):

Veselý, Filip. “Optimalizační úlohy na bázi částicových hejn (PSO): PSO-Particle Swarm Optimizations.” 2016. Thesis, Brno University of Technology. Accessed January 26, 2021. http://hdl.handle.net/11012/53237.

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

MLA Handbook (7th Edition):

Veselý, Filip. “Optimalizační úlohy na bázi částicových hejn (PSO): PSO-Particle Swarm Optimizations.” 2016. Web. 26 Jan 2021.

Vancouver:

Veselý F. Optimalizační úlohy na bázi částicových hejn (PSO): PSO-Particle Swarm Optimizations. [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/11012/53237.

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

Council of Science Editors:

Veselý F. Optimalizační úlohy na bázi částicových hejn (PSO): PSO-Particle Swarm Optimizations. [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/53237

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


University of Pretoria

22. [No author]. Particle swarm optimisation in dynamically changing environments - an empirical study .

Degree: 2012, University of Pretoria

 Real-world optimisation problems often are of a dynamic nature. Recently, much research has been done to apply particle swarm optimisation (PSO) to dynamic environments (DE).… (more)

Subjects/Keywords: Atomic pso; Charged pso; Self-adapting multi-swarm; Re-evaluating pso; Particle swarm optimisation (pso); Dynamically changing environment; Quantum swarm optimisation; Reinitialising pso; Computational intelligence; Multi-swarm; UCTD

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

APA (6th Edition):

author], [. (2012). Particle swarm optimisation in dynamically changing environments - an empirical study . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-06262012-124432/

Chicago Manual of Style (16th Edition):

author], [No. “Particle swarm optimisation in dynamically changing environments - an empirical study .” 2012. Masters Thesis, University of Pretoria. Accessed January 26, 2021. http://upetd.up.ac.za/thesis/available/etd-06262012-124432/.

MLA Handbook (7th Edition):

author], [No. “Particle swarm optimisation in dynamically changing environments - an empirical study .” 2012. Web. 26 Jan 2021.

Vancouver:

author] [. Particle swarm optimisation in dynamically changing environments - an empirical study . [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2021 Jan 26]. Available from: http://upetd.up.ac.za/thesis/available/etd-06262012-124432/.

Council of Science Editors:

author] [. Particle swarm optimisation in dynamically changing environments - an empirical study . [Masters Thesis]. University of Pretoria; 2012. Available from: http://upetd.up.ac.za/thesis/available/etd-06262012-124432/


University of Pretoria

23. Duhain, Julien Georges Omer Louis. Particle swarm optimisation in dynamically changing environments - an empirical study.

Degree: Computer Science, 2012, University of Pretoria

 Real-world optimisation problems often are of a dynamic nature. Recently, much research has been done to apply particle swarm optimisation (PSO) to dynamic environments (DE).… (more)

Subjects/Keywords: Atomic PSO; Charged PSO; Self-adapting multi-swarm; Re-evaluating PSO; Particle swarm optimisation (PSO); Dynamically changing environment; Quantum swarm optimisation; Reinitialising PSO; Computational intelligence; Multi-swarm; UCTD

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

APA (6th Edition):

Duhain, J. G. O. (2012). Particle swarm optimisation in dynamically changing environments - an empirical study. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/25875

Chicago Manual of Style (16th Edition):

Duhain, Julien Georges Omer. “Particle swarm optimisation in dynamically changing environments - an empirical study.” 2012. Masters Thesis, University of Pretoria. Accessed January 26, 2021. http://hdl.handle.net/2263/25875.

MLA Handbook (7th Edition):

Duhain, Julien Georges Omer. “Particle swarm optimisation in dynamically changing environments - an empirical study.” 2012. Web. 26 Jan 2021.

Vancouver:

Duhain JGO. Particle swarm optimisation in dynamically changing environments - an empirical study. [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2021 Jan 26]. Available from: http://hdl.handle.net/2263/25875.

Council of Science Editors:

Duhain JGO. Particle swarm optimisation in dynamically changing environments - an empirical study. [Masters Thesis]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/25875

24. Sun, Yanxia. Improved particle Swarm Optimisation algorithms : Des algorithmes améliorés de particules Swarm Optimisation.

Degree: Docteur es, Information Scientifique et Technique, 2011, Université Paris-Est

Optimisation Swarm Particle (PSO) est basé sur une métaphore de l'interaction sociale […] en ajustant les trajectoires des vecteurs individuels, appelés «particules» conceptualisées comme des… (more)

Subjects/Keywords: Optimisation par essaim de particules; Le chaos; Intelligence; Particle swarm optimization; Chaos; Intelligence

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

APA (6th Edition):

Sun, Y. (2011). Improved particle Swarm Optimisation algorithms : Des algorithmes améliorés de particules Swarm Optimisation. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2011PEST1049

Chicago Manual of Style (16th Edition):

Sun, Yanxia. “Improved particle Swarm Optimisation algorithms : Des algorithmes améliorés de particules Swarm Optimisation.” 2011. Doctoral Dissertation, Université Paris-Est. Accessed January 26, 2021. http://www.theses.fr/2011PEST1049.

MLA Handbook (7th Edition):

Sun, Yanxia. “Improved particle Swarm Optimisation algorithms : Des algorithmes améliorés de particules Swarm Optimisation.” 2011. Web. 26 Jan 2021.

Vancouver:

Sun Y. Improved particle Swarm Optimisation algorithms : Des algorithmes améliorés de particules Swarm Optimisation. [Internet] [Doctoral dissertation]. Université Paris-Est; 2011. [cited 2021 Jan 26]. Available from: http://www.theses.fr/2011PEST1049.

Council of Science Editors:

Sun Y. Improved particle Swarm Optimisation algorithms : Des algorithmes améliorés de particules Swarm Optimisation. [Doctoral Dissertation]. Université Paris-Est; 2011. Available from: http://www.theses.fr/2011PEST1049

25. Steyven, Andreas Siegfried Wilhelm. A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics.

Degree: PhD, 2017, Edinburgh Napier University

 This thesis investigates several aspects of environment-driven adaptation in simulated evolutionary swarm robotics. It is centred around a specific algorithm for distributed embodied evolution called… (more)

Subjects/Keywords: 006.3; Computer science; swarm robotics; artificial intelligence; 006.3 Artificial intelligence; QA75 Electronic computers. Computer science

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

APA (6th Edition):

Steyven, A. S. W. (2017). A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics. (Doctoral Dissertation). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/1253630 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.754125

Chicago Manual of Style (16th Edition):

Steyven, Andreas Siegfried Wilhelm. “A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics.” 2017. Doctoral Dissertation, Edinburgh Napier University. Accessed January 26, 2021. http://researchrepository.napier.ac.uk/Output/1253630 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.754125.

MLA Handbook (7th Edition):

Steyven, Andreas Siegfried Wilhelm. “A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics.” 2017. Web. 26 Jan 2021.

Vancouver:

Steyven ASW. A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics. [Internet] [Doctoral dissertation]. Edinburgh Napier University; 2017. [cited 2021 Jan 26]. Available from: http://researchrepository.napier.ac.uk/Output/1253630 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.754125.

Council of Science Editors:

Steyven ASW. A closer look at adaptation mechanisms in simulated environment-driven evolutionary swarm robotics. [Doctoral Dissertation]. Edinburgh Napier University; 2017. Available from: http://researchrepository.napier.ac.uk/Output/1253630 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.754125


University of Pretoria

26. [No author]. Using particle swarm optimization to evolve two-player game agents .

Degree: 2007, University of Pretoria

 Computer game-playing agents are almost as old as computers themselves, and people have been developing agents since the 1950's. Unfortunately the techniques for game-playing agents… (more)

Subjects/Keywords: Swarm intelligence; Computer games; UCTD

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

APA (6th Edition):

author], [. (2007). Using particle swarm optimization to evolve two-player game agents . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-04172007-083117/

Chicago Manual of Style (16th Edition):

author], [No. “Using particle swarm optimization to evolve two-player game agents .” 2007. Masters Thesis, University of Pretoria. Accessed January 26, 2021. http://upetd.up.ac.za/thesis/available/etd-04172007-083117/.

MLA Handbook (7th Edition):

author], [No. “Using particle swarm optimization to evolve two-player game agents .” 2007. Web. 26 Jan 2021.

Vancouver:

author] [. Using particle swarm optimization to evolve two-player game agents . [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2021 Jan 26]. Available from: http://upetd.up.ac.za/thesis/available/etd-04172007-083117/.

Council of Science Editors:

author] [. Using particle swarm optimization to evolve two-player game agents . [Masters Thesis]. University of Pretoria; 2007. Available from: http://upetd.up.ac.za/thesis/available/etd-04172007-083117/


University of Pretoria

27. Rakitianskaia, A.S. (Anastassia Sergeevna). Using particle swarm optimisation to train feedforward neural networks in dynamic environments .

Degree: 2012, University of Pretoria

 The feedforward neural network (NN) is a mathematical model capable of representing any non-linear relationship between input and output data. It has been succesfully applied… (more)

Subjects/Keywords: Computational intelligence; Particle swarm optimization (PSO); Concept drift; Neural networks; UCTD

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

APA (6th Edition):

Rakitianskaia, A. S. (. (2012). Using particle swarm optimisation to train feedforward neural networks in dynamic environments . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-02132012-233212/

Chicago Manual of Style (16th Edition):

Rakitianskaia, A S (Anastassia. “Using particle swarm optimisation to train feedforward neural networks in dynamic environments .” 2012. Masters Thesis, University of Pretoria. Accessed January 26, 2021. http://upetd.up.ac.za/thesis/available/etd-02132012-233212/.

MLA Handbook (7th Edition):

Rakitianskaia, A S (Anastassia. “Using particle swarm optimisation to train feedforward neural networks in dynamic environments .” 2012. Web. 26 Jan 2021.

Vancouver:

Rakitianskaia AS(. Using particle swarm optimisation to train feedforward neural networks in dynamic environments . [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2021 Jan 26]. Available from: http://upetd.up.ac.za/thesis/available/etd-02132012-233212/.

Council of Science Editors:

Rakitianskaia AS(. Using particle swarm optimisation to train feedforward neural networks in dynamic environments . [Masters Thesis]. University of Pretoria; 2012. Available from: http://upetd.up.ac.za/thesis/available/etd-02132012-233212/


University of Pretoria

28. [No author]. Using SetPSO to determine RNA secondary structure .

Degree: 2009, University of Pretoria

 RNA secondary structure prediction is an important field in Bioinformatics. A number of different approaches have been developed to simplify the determination of RNA molecule… (more)

Subjects/Keywords: Rna; Secondary structure; Setpso; Combinatorial; Computational intelligence; Particle swarm optimiser; UCTD

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

APA (6th Edition):

author], [. (2009). Using SetPSO to determine RNA secondary structure . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-02162009-112429/

Chicago Manual of Style (16th Edition):

author], [No. “Using SetPSO to determine RNA secondary structure .” 2009. Masters Thesis, University of Pretoria. Accessed January 26, 2021. http://upetd.up.ac.za/thesis/available/etd-02162009-112429/.

MLA Handbook (7th Edition):

author], [No. “Using SetPSO to determine RNA secondary structure .” 2009. Web. 26 Jan 2021.

Vancouver:

author] [. Using SetPSO to determine RNA secondary structure . [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2021 Jan 26]. Available from: http://upetd.up.ac.za/thesis/available/etd-02162009-112429/.

Council of Science Editors:

author] [. Using SetPSO to determine RNA secondary structure . [Masters Thesis]. University of Pretoria; 2009. Available from: http://upetd.up.ac.za/thesis/available/etd-02162009-112429/


University of Pretoria

29. [No author]. A study of gradient based particle swarm optimisers .

Degree: 2011, University of Pretoria

 Gradient-based optimisers are a natural way to solve optimisation problems, and have long been used for their efficacy in exploiting the search space. Particle swarm(more)

Subjects/Keywords: Artificial intelligence; Gradient methods; Hybrid; Particle swarm optimisers; UCTD

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

APA (6th Edition):

author], [. (2011). A study of gradient based particle swarm optimisers . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-11292010-143123/

Chicago Manual of Style (16th Edition):

author], [No. “A study of gradient based particle swarm optimisers .” 2011. Masters Thesis, University of Pretoria. Accessed January 26, 2021. http://upetd.up.ac.za/thesis/available/etd-11292010-143123/.

MLA Handbook (7th Edition):

author], [No. “A study of gradient based particle swarm optimisers .” 2011. Web. 26 Jan 2021.

Vancouver:

author] [. A study of gradient based particle swarm optimisers . [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2021 Jan 26]. Available from: http://upetd.up.ac.za/thesis/available/etd-11292010-143123/.

Council of Science Editors:

author] [. A study of gradient based particle swarm optimisers . [Masters Thesis]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-11292010-143123/


Ryerson University

30. Obaidullah, Muhammad. Application mapping and NoC configuration using hybrid particle swarm optimization.

Degree: 2017, Ryerson University

 Network-on-Chip (NoC) has been proposed as an interconnection framework for connecting large number of cores for a System-on-Chip (SoC). Assuming a mesh-based NoC, we investigate… (more)

Subjects/Keywords: Mathematical optimization.; Networks on a chip  – Design and construction.; Swarm intelligence.

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APA (6th Edition):

Obaidullah, M. (2017). Application mapping and NoC configuration using hybrid particle swarm optimization. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6881

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):

Obaidullah, Muhammad. “Application mapping and NoC configuration using hybrid particle swarm optimization.” 2017. Thesis, Ryerson University. Accessed January 26, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A6881.

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

MLA Handbook (7th Edition):

Obaidullah, Muhammad. “Application mapping and NoC configuration using hybrid particle swarm optimization.” 2017. Web. 26 Jan 2021.

Vancouver:

Obaidullah M. Application mapping and NoC configuration using hybrid particle swarm optimization. [Internet] [Thesis]. Ryerson University; 2017. [cited 2021 Jan 26]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6881.

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

Council of Science Editors:

Obaidullah M. Application mapping and NoC configuration using hybrid particle swarm optimization. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6881

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

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