Performance evaluation of Black Hole Algorithm, Gravitational Search Algorithm and Particle Swarm Optimization
Particle Swarm Optimization (PSO) and Gravitational Search Algorithm are a well known population-based heuristic optimization techniques. PSO is inspired from a motion flock of birds searching for a food. In PSO, a bird adjusts its position according to its own ‘‘experience’’ as well as the experien...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
UTM Press
2015
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/9269/1/Performance%20evaluation%20of%20Black%20Hole%20Algorithm%2C%20Gravitational%20Search%20Algorithm%20and%20Particle%20Swarm%20Optimization.pdf http://umpir.ump.edu.my/id/eprint/9269/ http://www.mjfas.utm.my/index.php/mjfas/article/view/342 |
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