基于人工鱼群算法的智能交流接触器虚拟样机优化设计

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Abstract Artificial fish-swarm algorithm (AFSA) is a new random search optimization algorithm, which provides a new idea and method to solve complex optimization problems. The improved AFSA based on grid division and tabu search will make the optimization more accessible to the precise overall solution. By introducing the improved AFSA into the optimization design of intelligent AC contactor’s control parameters and its mechanism’s structure parameters in its opening process and closing process, not only comprehensive optimization is achieved, but also guaranteed the rapid release of the mechanism, which laid the foundation for reliable micro-arc energy breaking. This dissertation chiefly proposed a method for intelligent AC contactor’s virtual prototype dynamic optimization design.

Key words： Intelligent AC contactor gridding method tabu search artificial fish-swarm algorithm virtual prototype dynamic optimization design

Received: 05 June 2009 Published: 07 March 2014

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TM572

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	Chen Dewei
	Zhang Peiming

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Chen Dewei,Zhang Peiming. Virtual Prototype Optimal Design of Intelligent AC Contactors Based on Artificial Fish-Swarm Algorithm[J]. Transactions of China Electrotechnical Society, 2011, 26(2): 101-107.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I2/101

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