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dayton1335827032.pdf (3.46 MB)
ETD Abstract Container
Abstract Header
Particle Swarm Optimization
Author Info
Devarakonda, SaiPrasanth
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335827032
Abstract Details
Year and Degree
2012, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Abstract
The particle swarm algorithm is a computational method to optimize a problem iteratively. As the neighborhood determines the sufficiency and frequency of information flow, the static and dynamic neighborhoods are discussed. The characteristics of the different methods for the selection of the algorithm for a particular problem are summarized. The performance of particle swarm optimization with dynamic neighborhood is investigated by three different methods. In the present work two more benchmark functions are tested using the algorithm. Conclusions are drawn by testing the different benchmark functions that reflect the performance of the PSO with dynamic neighborhood. And all the benchmark functions are analyzed by both Synchronous and Asynchronous PSO algorithms.
Committee
Raul Ordonez (Committee Chair)
John Loomis (Committee Member)
Robert Penno (Committee Member)
Pages
121 p.
Subject Headings
Electrical Engineering
;
Engineering
Keywords
Synchronous
;
Asynchronous
;
Dynamic neighborhood
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Citations
Devarakonda, S. (2012).
Particle Swarm Optimization
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335827032
APA Style (7th edition)
Devarakonda, SaiPrasanth.
Particle Swarm Optimization.
2012. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335827032.
MLA Style (8th edition)
Devarakonda, SaiPrasanth. "Particle Swarm Optimization." Master's thesis, University of Dayton, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335827032
Chicago Manual of Style (17th edition)
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Document number:
dayton1335827032
Download Count:
6,653
Copyright Info
© 2012, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.