A random synchronous-asynchronous particle swarm optimization algorithm with a new iteration strategy

• 主要な著者: Ab. Aziz, Nor Azlina, Sudin, Shahdan, Mubin, Marizan, Nawawi, Sophan Wahyudi, Ibrahim, Zuwairie
• フォーマット: Conference or Workshop Item
• 出版事項: 2015
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utm.my/id/eprint/60660/; http://inecce.ump.edu.my/index.php/en/

Particle swarm optimisation (PSO) is a population-based stochastic optimisation algo rithm. Traditionally the particles update sequence for PSO can be categorized into two groups, synch ronous (S-PSO) or asynchronous (A-PSO) update. In S- PSO, the particles’ performances are evaluated before their v...