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Evolutionary computation between Genetic Algorithm and Particle Swarm Optimization |
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| รหัสดีโอไอ | |
| Creator | สุภกิจ นุตยะสกุล |
| Title | Evolutionary computation between Genetic Algorithm and Particle Swarm Optimization |
| Publisher | Faculty of Information Science and Technology, Mahanakorn University of Technology |
| Publication Year | 2554 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 2 |
| Journal No. | 2 |
| Page no. | 13-22 |
| Keyword | Evolutionary Computation, Genetic algorithm, Particle swarm optimization |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | Genetic algorithm (GA) proved by many researchers that can solve optimization problems. However, GA lack on sharing information between the populations in consequent GA finds the solution quite slow. The new technique that is mentioned is particle swarm optimization (PSO). PSO is a technique in a group of evolutionary computation like GA. PSO find the best result by simulation moving of bird or fish to find foods or living, unlike GA. The GA uses the candidate of population to find the solution. This article presents techniques of PSO comparing with GA to point out the difference the process finding the solution. |
