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You searched for subject:(Swarm intelligence ). Showing records 1 – 30 of 200 total matches.

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University of Manitoba

1. Liu, Ying Ying. A Polymorphic Ant-Based Algorithm for Graph Clustering.

Degree: Computer Science, 2016, University of Manitoba

 In this thesis, I introduce two new algorithms: Ant Brood Clustering-Intelligent Ants (ABC-INTE) and Ant Brood Clustering-Polymorphic Ants (ABC-POLY) for the graph clustering problem. ABC-INTE… (more)

Subjects/Keywords: Swarm Intelligence

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APA (6th Edition):

Liu, Y. Y. (2016). A Polymorphic Ant-Based Algorithm for Graph Clustering. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31202

Chicago Manual of Style (16th Edition):

Liu, Ying Ying. “A Polymorphic Ant-Based Algorithm for Graph Clustering.” 2016. Masters Thesis, University of Manitoba. Accessed February 21, 2018. http://hdl.handle.net/1993/31202.

MLA Handbook (7th Edition):

Liu, Ying Ying. “A Polymorphic Ant-Based Algorithm for Graph Clustering.” 2016. Web. 21 Feb 2018.

Vancouver:

Liu YY. A Polymorphic Ant-Based Algorithm for Graph Clustering. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/1993/31202.

Council of Science Editors:

Liu YY. A Polymorphic Ant-Based Algorithm for Graph Clustering. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31202


Western Carolina University

2. 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 February 21, 2018. 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. 21 Feb 2018.

Vancouver:

Proffitt MR. Optimization of swarm robotic constellation communication for object detection and event recognition. [Internet] [Masters thesis]. Western Carolina University; 2011. [cited 2018 Feb 21]. 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


Baylor University

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

Degree: 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, A. R. (2011). Optimizing multi-agent dynamics for underwater tactical applications. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8181

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):

Yu, Albert R. “Optimizing multi-agent dynamics for underwater tactical applications. ” 2011. Thesis, Baylor University. Accessed February 21, 2018. http://hdl.handle.net/2104/8181.

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

MLA Handbook (7th Edition):

Yu, Albert R. “Optimizing multi-agent dynamics for underwater tactical applications. ” 2011. Web. 21 Feb 2018.

Vancouver:

Yu AR. Optimizing multi-agent dynamics for underwater tactical applications. [Internet] [Thesis]. Baylor University; 2011. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2104/8181.

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

Council of Science Editors:

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

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

4. Zhang, Haopeng. Coordinated resource allocation and load balancing for network systems using semistability tools and Multiagent Coordination Optimization.

Degree: 2014, Texas Tech University

 Wide-range applications of cyber-physical systems(CPS) raise the issues of the resource allocation and load balancing frequently. A specialized, fast-convergence algorithm to solve those issues in… (more)

Subjects/Keywords: Resource allocation; Swarm intelligence

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APA (6th Edition):

Zhang, H. (2014). Coordinated resource allocation and load balancing for network systems using semistability tools and Multiagent Coordination Optimization. (Doctoral Dissertation). Texas Tech University. Retrieved from http://hdl.handle.net/2346/58911

Chicago Manual of Style (16th Edition):

Zhang, Haopeng. “Coordinated resource allocation and load balancing for network systems using semistability tools and Multiagent Coordination Optimization.” 2014. Doctoral Dissertation, Texas Tech University. Accessed February 21, 2018. http://hdl.handle.net/2346/58911.

MLA Handbook (7th Edition):

Zhang, Haopeng. “Coordinated resource allocation and load balancing for network systems using semistability tools and Multiagent Coordination Optimization.” 2014. Web. 21 Feb 2018.

Vancouver:

Zhang H. Coordinated resource allocation and load balancing for network systems using semistability tools and Multiagent Coordination Optimization. [Internet] [Doctoral dissertation]. Texas Tech University; 2014. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2346/58911.

Council of Science Editors:

Zhang H. Coordinated resource allocation and load balancing for network systems using semistability tools and Multiagent Coordination Optimization. [Doctoral Dissertation]. Texas Tech University; 2014. Available from: http://hdl.handle.net/2346/58911


University of Waterloo

5. Ahmadi, Abbas. Multiple Cooperative Swarms for Data Clustering.

Degree: 2008, University of Waterloo

 Exploring a set of unlabeled data to extract the similar clusters, known as data clustering, is an appealing problem in machine learning. In other words,… (more)

Subjects/Keywords: Data clustering; Swarm intelligence; Particle swarm optimization; Cooperative swarms

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APA (6th Edition):

Ahmadi, A. (2008). Multiple Cooperative Swarms for Data Clustering. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4031

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):

Ahmadi, Abbas. “Multiple Cooperative Swarms for Data Clustering.” 2008. Thesis, University of Waterloo. Accessed February 21, 2018. http://hdl.handle.net/10012/4031.

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

MLA Handbook (7th Edition):

Ahmadi, Abbas. “Multiple Cooperative Swarms for Data Clustering.” 2008. Web. 21 Feb 2018.

Vancouver:

Ahmadi A. Multiple Cooperative Swarms for Data Clustering. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/10012/4031.

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

Council of Science Editors:

Ahmadi A. Multiple Cooperative Swarms for Data Clustering. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/4031

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

6. 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 February 21, 2018. 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. 21 Feb 2018.

Vancouver:

Talukder S. Mathematicle Modelling and Applications of Particle Swarm Optimization. [Internet] [Thesis]. , School of Engineering; 2011. [cited 2018 Feb 21]. 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


University of Saskatchewan

7. Moallem, Azin. Using swarm intelligence for distributed job scheduling on the grid.

Degree: 2009, University of Saskatchewan

 With the rapid growth of data and computational needs, distributed systems and computational Grids are gaining more and more attention. Grids are playing an important… (more)

Subjects/Keywords: Ant colony; Swarm intelligence; Grid; particle Swarm; Load balancing

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APA (6th Edition):

Moallem, A. (2009). Using swarm intelligence for distributed job scheduling on the grid. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-04132009-123250

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):

Moallem, Azin. “Using swarm intelligence for distributed job scheduling on the grid.” 2009. Thesis, University of Saskatchewan. Accessed February 21, 2018. http://hdl.handle.net/10388/etd-04132009-123250.

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

MLA Handbook (7th Edition):

Moallem, Azin. “Using swarm intelligence for distributed job scheduling on the grid.” 2009. Web. 21 Feb 2018.

Vancouver:

Moallem A. Using swarm intelligence for distributed job scheduling on the grid. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/10388/etd-04132009-123250.

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

Council of Science Editors:

Moallem A. Using swarm intelligence for distributed job scheduling on the grid. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-04132009-123250

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


The Ohio State University

8. 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 February 21, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486463321623482.

MLA Handbook (7th Edition):

Gazi, Veysel. “Stability analysis of swarms.” 2002. Web. 21 Feb 2018.

Vancouver:

Gazi V. Stability analysis of swarms. [Internet] [Doctoral dissertation]. The Ohio State University; 2002. [cited 2018 Feb 21]. 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

9. [No author]. Evaluation of a New Bio-Inspired Algorithm: Krill Herd.

Degree: 2014, North Dakota State University

 Number of nature inspired algorithms is proposed to solve complex optimization problems. The Krill Herd algorithm is one such biologically-inspired algorithm, proposed to solve optimization… (more)

Subjects/Keywords: Biologically-inspired computing.; Swarm intelligence.; Mathematical optimization.

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APA (6th Edition):

author], [. (2014). Evaluation of a New Bio-Inspired Algorithm: Krill Herd. (Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/24754

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):

author], [No. “Evaluation of a New Bio-Inspired Algorithm: Krill Herd.” 2014. Thesis, North Dakota State University. Accessed February 21, 2018. http://hdl.handle.net/10365/24754.

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

MLA Handbook (7th Edition):

author], [No. “Evaluation of a New Bio-Inspired Algorithm: Krill Herd.” 2014. Web. 21 Feb 2018.

Vancouver:

author] [. Evaluation of a New Bio-Inspired Algorithm: Krill Herd. [Internet] [Thesis]. North Dakota State University; 2014. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/10365/24754.

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

Council of Science Editors:

author] [. Evaluation of a New Bio-Inspired Algorithm: Krill Herd. [Thesis]. North Dakota State University; 2014. Available from: http://hdl.handle.net/10365/24754

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

10. [No author]. Particle Swarm Optimization Algorithm: Variants and Comparisons.

Degree: 2015, North Dakota State University

 Since the introduction of Particle Swarm optimization by Dr. Eberhart and Dr. Kennedy, there have been many variations of the algorithm proposed by many researchers… (more)

Subjects/Keywords: Swarm intelligence.; Mathematical optimization.; Problem solving.; Algorithms.

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APA (6th Edition):

author], [. (2015). Particle Swarm Optimization Algorithm: Variants and Comparisons. (Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/25404

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):

author], [No. “Particle Swarm Optimization Algorithm: Variants and Comparisons.” 2015. Thesis, North Dakota State University. Accessed February 21, 2018. http://hdl.handle.net/10365/25404.

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

MLA Handbook (7th Edition):

author], [No. “Particle Swarm Optimization Algorithm: Variants and Comparisons.” 2015. Web. 21 Feb 2018.

Vancouver:

author] [. Particle Swarm Optimization Algorithm: Variants and Comparisons. [Internet] [Thesis]. North Dakota State University; 2015. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/10365/25404.

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

Council of Science Editors:

author] [. Particle Swarm Optimization Algorithm: Variants and Comparisons. [Thesis]. North Dakota State University; 2015. Available from: http://hdl.handle.net/10365/25404

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


Univerzitet u Beogradu

11. 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 February 21, 2018. 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. 21 Feb 2018.

Vancouver:

Bačanin-Džakula, Nebojša V. 1. Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2018 Feb 21]. 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


Oregon State University

12. 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 February 21, 2018. http://hdl.handle.net/1957/45107.

MLA Handbook (7th Edition):

Potanapalli, Kranti Kumar. “Coactive learning for multi-robot search and coverage.” 2013. Web. 21 Feb 2018.

Vancouver:

Potanapalli KK. Coactive learning for multi-robot search and coverage. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2018 Feb 21]. 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

13. [No author]. Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches.

Degree: 2014, North Dakota State University

 Recently, in many experimental studies, the statistical analysis of nonparametric comparisons has grown in the area of computational intelligence. The research refers to application of… (more)

Subjects/Keywords: Computational intelligence.; Swarm intelligence.; Evolutionary computation.; Nonparametric statistics.; Mathematical optimization.

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APA (6th Edition):

author], [. (2014). Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches. (Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/23144

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):

author], [No. “Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches.” 2014. Thesis, North Dakota State University. Accessed February 21, 2018. http://hdl.handle.net/10365/23144.

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

MLA Handbook (7th Edition):

author], [No. “Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches.” 2014. Web. 21 Feb 2018.

Vancouver:

author] [. Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches. [Internet] [Thesis]. North Dakota State University; 2014. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/10365/23144.

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

Council of Science Editors:

author] [. Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches. [Thesis]. North Dakota State University; 2014. Available from: http://hdl.handle.net/10365/23144

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


Brno University of Technology

14. Winklerová, Zdenka. Inteligence skupiny .

Degree: 2015, Brno University of Technology

 Záměrem disertační práce je aplikovaný výzkum skupinové ( kolektivní ) inteligence . K prokázání použitelnosti inteligence skupiny je zkoumán algoritmus na bázi roje částic (… (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 (6th Edition):

Winklerová, Z. (2015). Inteligence skupiny . (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 .” 2015. Thesis, Brno University of Technology. Accessed February 21, 2018. 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 .” 2015. Web. 21 Feb 2018.

Vancouver:

Winklerová Z. Inteligence skupiny . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2018 Feb 21]. 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 . [Thesis]. Brno University of Technology; 2015. 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

15. 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 (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 February 21, 2018. 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. 21 Feb 2018.

Vancouver:

Kelman A. Utilizing Swarm Intelligence Algorithms for Pathfinding in Games. [Internet] [Thesis]. University of Skövde; 2017. [cited 2018 Feb 21]. 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

16. Al-Obaidi, Mohanad. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.

Degree: PhD, 2010, De Montfort University

 Although traditionally Wireless Sensor Network (WSNs) have been regarded as static sensor arrays used mainly for environmental monitoring, recently, its applications have undergone a paradigm… (more)

Subjects/Keywords: 600; genetic algorithms; clustering; evolutionary computation; sensor networks; swarm intelligence; energy optimization; particle swarm optimization

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

APA (6th Edition):

Al-Obaidi, M. (2010). ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/5187

Chicago Manual of Style (16th Edition):

Al-Obaidi, Mohanad. “ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.” 2010. Doctoral Dissertation, De Montfort University. Accessed February 21, 2018. http://hdl.handle.net/2086/5187.

MLA Handbook (7th Edition):

Al-Obaidi, Mohanad. “ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.” 2010. Web. 21 Feb 2018.

Vancouver:

Al-Obaidi M. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. [Internet] [Doctoral dissertation]. De Montfort University; 2010. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2086/5187.

Council of Science Editors:

Al-Obaidi M. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. [Doctoral Dissertation]. De Montfort University; 2010. Available from: http://hdl.handle.net/2086/5187

17. Magg, Sven. Self-Organised Task Differentiation in Homogeneous and Heterogeneous Groups of Autonomous Agents .

Degree: 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: 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 . (Thesis). University of Hertfordshire. Retrieved from http://hdl.handle.net/2299/9038

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):

Magg, Sven. “Self-Organised Task Differentiation in Homogeneous and Heterogeneous Groups of Autonomous Agents .” 2012. Thesis, University of Hertfordshire. Accessed February 21, 2018. http://hdl.handle.net/2299/9038.

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

MLA Handbook (7th Edition):

Magg, Sven. “Self-Organised Task Differentiation in Homogeneous and Heterogeneous Groups of Autonomous Agents .” 2012. Web. 21 Feb 2018.

Vancouver:

Magg S. Self-Organised Task Differentiation in Homogeneous and Heterogeneous Groups of Autonomous Agents . [Internet] [Thesis]. University of Hertfordshire; 2012. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2299/9038.

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

Council of Science Editors:

Magg S. Self-Organised Task Differentiation in Homogeneous and Heterogeneous Groups of Autonomous Agents . [Thesis]. University of Hertfordshire; 2012. Available from: http://hdl.handle.net/2299/9038

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


University of Pretoria

18. 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 February 21, 2018. 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. 21 Feb 2018.

Vancouver:

Duhain JGO. Particle swarm optimisation in dynamically changing environments - an empirical study. [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2018 Feb 21]. 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


University of Pretoria

19. [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 February 21, 2018. 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. 21 Feb 2018.

Vancouver:

author] [. Particle swarm optimisation in dynamically changing environments - an empirical study . [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2018 Feb 21]. 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 Saskatchewan

20. Guha, Tapashree. Investigation of service selection algorithms for grid services.

Degree: 2009, University of Saskatchewan

 Grid computing has emerged as a global platform to support organizations for coordinated sharing of distributed data, applications, and processes. Additionally, Grid computing has also… (more)

Subjects/Keywords: Evolutionary Algorithms; Grid Computing; Service Selection; Swarm Intelligence; Artificial Intelligence; Assignment Problem

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

APA (6th Edition):

Guha, T. (2009). Investigation of service selection algorithms for grid services. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-09112009-201250

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):

Guha, Tapashree. “Investigation of service selection algorithms for grid services.” 2009. Thesis, University of Saskatchewan. Accessed February 21, 2018. http://hdl.handle.net/10388/etd-09112009-201250.

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

MLA Handbook (7th Edition):

Guha, Tapashree. “Investigation of service selection algorithms for grid services.” 2009. Web. 21 Feb 2018.

Vancouver:

Guha T. Investigation of service selection algorithms for grid services. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/10388/etd-09112009-201250.

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

Council of Science Editors:

Guha T. Investigation of service selection algorithms for grid services. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-09112009-201250

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

21. 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 February 21, 2018. 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. 21 Feb 2018.

Vancouver:

Sun Y. Improved particle Swarm Optimisation algorithms : Des algorithmes améliorés de particules Swarm Optimisation. [Internet] [Doctoral dissertation]. Université Paris-Est; 2011. [cited 2018 Feb 21]. 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


Baylor University

22. Van Ruitenbeek, Benjamin D. Image compression and recovery using compressive sampling and particle swarm optimization.

Degree: Computer Science., 2009, Baylor University

 We present a novel method for sparse signal recovery using Particle Swarm Optimization and demonstrate an application in image compression. Images are compressed with compressive… (more)

Subjects/Keywords: Image compression.; Mathematical optimization  – Computer programs.; Swarm intelligence.

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APA (6th Edition):

Van Ruitenbeek, B. D. (2009). Image compression and recovery using compressive sampling and particle swarm optimization. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5397

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):

Van Ruitenbeek, Benjamin D. “Image compression and recovery using compressive sampling and particle swarm optimization. ” 2009. Thesis, Baylor University. Accessed February 21, 2018. http://hdl.handle.net/2104/5397.

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

MLA Handbook (7th Edition):

Van Ruitenbeek, Benjamin D. “Image compression and recovery using compressive sampling and particle swarm optimization. ” 2009. Web. 21 Feb 2018.

Vancouver:

Van Ruitenbeek BD. Image compression and recovery using compressive sampling and particle swarm optimization. [Internet] [Thesis]. Baylor University; 2009. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2104/5397.

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

Council of Science Editors:

Van Ruitenbeek BD. Image compression and recovery using compressive sampling and particle swarm optimization. [Thesis]. Baylor University; 2009. Available from: http://hdl.handle.net/2104/5397

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


Baylor University

23. Roach, Jon H. Emergent behaviors of multi-objective swarms with applications in a dynamic underwater environment.

Degree: Electrical and Computer Engineering., 2013, Baylor University

 The allocation of resources between tasks within a swarm of agents can be difficult without a centralized controller. This problem is prevalent when designing a… (more)

Subjects/Keywords: Swarm intelligence.; Emergent behaviors.; Evolutionary computing.; Multi-objective swarms.; Disjunctive control.

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APA (6th Edition):

Roach, J. H. (2013). Emergent behaviors of multi-objective swarms with applications in a dynamic underwater environment. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8854

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):

Roach, Jon H. “Emergent behaviors of multi-objective swarms with applications in a dynamic underwater environment. ” 2013. Thesis, Baylor University. Accessed February 21, 2018. http://hdl.handle.net/2104/8854.

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

MLA Handbook (7th Edition):

Roach, Jon H. “Emergent behaviors of multi-objective swarms with applications in a dynamic underwater environment. ” 2013. Web. 21 Feb 2018.

Vancouver:

Roach JH. Emergent behaviors of multi-objective swarms with applications in a dynamic underwater environment. [Internet] [Thesis]. Baylor University; 2013. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2104/8854.

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

Council of Science Editors:

Roach JH. Emergent behaviors of multi-objective swarms with applications in a dynamic underwater environment. [Thesis]. Baylor University; 2013. Available from: http://hdl.handle.net/2104/8854

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

24. [No author]. Implementation of Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimum Number of Clusters.

Degree: 2015, North Dakota State University

 One versatile and popular method for the clustering analysis is fuzzy clustering. This clustering method allows the individual data points to belong to more than… (more)

Subjects/Keywords: Fuzzy sets.; Mathematical optimization.; Swarm intelligence.; Cluster analysis.

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APA (6th Edition):

author], [. (2015). Implementation of Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimum Number of Clusters. (Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/25486

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):

author], [No. “Implementation of Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimum Number of Clusters.” 2015. Thesis, North Dakota State University. Accessed February 21, 2018. http://hdl.handle.net/10365/25486.

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

MLA Handbook (7th Edition):

author], [No. “Implementation of Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimum Number of Clusters.” 2015. Web. 21 Feb 2018.

Vancouver:

author] [. Implementation of Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimum Number of Clusters. [Internet] [Thesis]. North Dakota State University; 2015. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/10365/25486.

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

Council of Science Editors:

author] [. Implementation of Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimum Number of Clusters. [Thesis]. North Dakota State University; 2015. Available from: http://hdl.handle.net/10365/25486

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


Anna University

25. Nagarani, S. Swarm intelligence based dynamic subcarrier bit and power allocation for ofdma relay networks; -.

Degree: mathematics, 2013, Anna University

Orthogonal Frequency Division Multiplexing OFDM is a newlinepromising and a reliable solution for future wireless communication networks newlineOFDM provides a high performance physical layer and… (more)

Subjects/Keywords: Bit; Dynamic Subcarrier; Ofdma; Power Allocation; Relay Networks; Swarm Intelligence

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APA (6th Edition):

Nagarani, S. (2013). Swarm intelligence based dynamic subcarrier bit and power allocation for ofdma relay networks; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27015

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):

Nagarani, S. “Swarm intelligence based dynamic subcarrier bit and power allocation for ofdma relay networks; -.” 2013. Thesis, Anna University. Accessed February 21, 2018. http://shodhganga.inflibnet.ac.in/handle/10603/27015.

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

MLA Handbook (7th Edition):

Nagarani, S. “Swarm intelligence based dynamic subcarrier bit and power allocation for ofdma relay networks; -.” 2013. Web. 21 Feb 2018.

Vancouver:

Nagarani S. Swarm intelligence based dynamic subcarrier bit and power allocation for ofdma relay networks; -. [Internet] [Thesis]. Anna University; 2013. [cited 2018 Feb 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27015.

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

Council of Science Editors:

Nagarani S. Swarm intelligence based dynamic subcarrier bit and power allocation for ofdma relay networks; -. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27015

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

26. Sudholt, Dirk. Computational complexity of evolutionary algorithms, hybridizations, and swarm intelligence.

Degree: 2008, Technische Universität Dortmund

 Bio-inspired randomized search heuristics such as evolutionary algorithms, hybridizations with local search, and swarm intelligence are very popular among practitioners as they can be applied… (more)

Subjects/Keywords: Computational complexity; evolutionary algorithms; hybridization; probabilistic analysis; swarm intelligence; theory; 004

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APA (6th Edition):

Sudholt, D. (2008). Computational complexity of evolutionary algorithms, hybridizations, and swarm intelligence. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/25954

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):

Sudholt, Dirk. “Computational complexity of evolutionary algorithms, hybridizations, and swarm intelligence.” 2008. Thesis, Technische Universität Dortmund. Accessed February 21, 2018. http://hdl.handle.net/2003/25954.

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

MLA Handbook (7th Edition):

Sudholt, Dirk. “Computational complexity of evolutionary algorithms, hybridizations, and swarm intelligence.” 2008. Web. 21 Feb 2018.

Vancouver:

Sudholt D. Computational complexity of evolutionary algorithms, hybridizations, and swarm intelligence. [Internet] [Thesis]. Technische Universität Dortmund; 2008. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2003/25954.

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

Council of Science Editors:

Sudholt D. Computational complexity of evolutionary algorithms, hybridizations, and swarm intelligence. [Thesis]. Technische Universität Dortmund; 2008. Available from: http://hdl.handle.net/2003/25954

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


University of Pretoria

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

Degree: Computer Science, 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 (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://hdl.handle.net/2263/28618

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 February 21, 2018. http://hdl.handle.net/2263/28618.

MLA Handbook (7th Edition):

Rakitianskaia, A S (Anastassia. “Using particle swarm optimisation to train feedforward neural networks in dynamic environments.” 2012. Web. 21 Feb 2018.

Vancouver:

Rakitianskaia AS(. Using particle swarm optimisation to train feedforward neural networks in dynamic environments. [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2263/28618.

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://hdl.handle.net/2263/28618


University of Pretoria

28. Neethling, Charles Marais. Using SetPSO to determine RNA secondary structure.

Degree: Computer Science, 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 (6th Edition):

Neethling, C. (2009). Using SetPSO to determine RNA secondary structure. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/29202

Chicago Manual of Style (16th Edition):

Neethling, Charles. “Using SetPSO to determine RNA secondary structure.” 2009. Masters Thesis, University of Pretoria. Accessed February 21, 2018. http://hdl.handle.net/2263/29202.

MLA Handbook (7th Edition):

Neethling, Charles. “Using SetPSO to determine RNA secondary structure.” 2009. Web. 21 Feb 2018.

Vancouver:

Neethling C. Using SetPSO to determine RNA secondary structure. [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2263/29202.

Council of Science Editors:

Neethling C. Using SetPSO to determine RNA secondary structure. [Masters Thesis]. University of Pretoria; 2009. Available from: http://hdl.handle.net/2263/29202


University of Pretoria

29. Barla-Szabo, Daniel. A study of gradient based particle swarm optimisers.

Degree: Computer Science, 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 (6th Edition):

Barla-Szabo, D. (2011). A study of gradient based particle swarm optimisers. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/29927

Chicago Manual of Style (16th Edition):

Barla-Szabo, Daniel. “A study of gradient based particle swarm optimisers.” 2011. Masters Thesis, University of Pretoria. Accessed February 21, 2018. http://hdl.handle.net/2263/29927.

MLA Handbook (7th Edition):

Barla-Szabo, Daniel. “A study of gradient based particle swarm optimisers.” 2011. Web. 21 Feb 2018.

Vancouver:

Barla-Szabo D. A study of gradient based particle swarm optimisers. [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2263/29927.

Council of Science Editors:

Barla-Szabo D. A study of gradient based particle swarm optimisers. [Masters Thesis]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/29927


University of Pretoria

30. Messerschmidt, Leon. Using particle swarm optimization to evolve two-player game agents.

Degree: Computer Science, 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 (6th Edition):

Messerschmidt, L. (2007). Using particle swarm optimization to evolve two-player game agents. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23980

Chicago Manual of Style (16th Edition):

Messerschmidt, Leon. “Using particle swarm optimization to evolve two-player game agents.” 2007. Masters Thesis, University of Pretoria. Accessed February 21, 2018. http://hdl.handle.net/2263/23980.

MLA Handbook (7th Edition):

Messerschmidt, Leon. “Using particle swarm optimization to evolve two-player game agents.” 2007. Web. 21 Feb 2018.

Vancouver:

Messerschmidt L. Using particle swarm optimization to evolve two-player game agents. [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2018 Feb 21]. Available from: http://hdl.handle.net/2263/23980.

Council of Science Editors:

Messerschmidt L. Using particle swarm optimization to evolve two-player game agents. [Masters Thesis]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/23980

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