| Paper Abstract and Keywords |
| Presentation |
2007-03-16 15:10
Evolutionary Design of Particle Swarm Optimization Using Real-Coded Genetic Algorithm
Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Particle Swarm Optimization (PSO) is a stochastic and population-based search algorithm that demonstrates its effctiveness in solving complex nonlinear optimization problems. Although the original PSO is very simple and effective, how to determine appropriate values of parameters in PSO is yet to be found. This paper proposes a novel method called evolutionary PSO, which estimates values of parameters in PSO for effectively finding globally optimal parameter values by a real-coded genetic algorithm. A crucial idea here is to adopt a temporary cumulative
fitness instead of instantaneous fitness in a real-coded genetic algorithm for evaluating the performance of the PSO. It provides a useful measure that efficiently determines appropriate values of parameters in PSO. To demonstrate the effectiveness of the proposed method, we implement a simple computer experiment on a 2-dimensional optimization problem, and analyze the characteristics of dependency on initial condition. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
particle swarm optimization / real-coded genetic algorithm / elitism strategy / estimation / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 106, no. 590, NC2006-198, pp. 65-70, March 2007. |
| Paper # |
NC2006-198 |
| Date of Issue |
2007-03-09 (NC) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
|
| Conference Information |
| Committee |
NC |
| Conference Date |
2007-03-14 - 2007-03-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tamagawa University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
General |
| Paper Information |
| Registration To |
NC |
| Conference Code |
2007-03-NC |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Evolutionary Design of Particle Swarm Optimization Using Real-Coded Genetic Algorithm |
| Sub Title (in English) |
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| Keyword(1) |
particle swarm optimization |
| Keyword(2) |
real-coded genetic algorithm |
| Keyword(3) |
elitism strategy |
| Keyword(4) |
estimation |
| Keyword(5) |
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| 1st Author's Name |
Hong Zhang |
| 1st Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
| 2nd Author's Name |
Masumi Ishikawa |
| 2nd Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
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| Speaker |
Author-1 |
| Date Time |
2007-03-16 15:10:00 |
| Presentation Time |
20 minutes |
| Registration for |
NC |
| Paper # |
NC2006-198 |
| Volume (vol) |
vol.106 |
| Number (no) |
no.590 |
| Page |
pp.65-70 |
| #Pages |
6 |
| Date of Issue |
2007-03-09 (NC) |