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《Computer Engineering and Applications》 2004-06
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Particle Swarm Optimization Algorithms with Immunity

Gao Ying 1,2 Xie Shengli 21 (Dept.of Computer Science and Technology,Guangzhou University,Guangzhou510405) 2 (College of Electronic&Information Engineering,South China University of Technology,Guangzhou510641)  
In this paper,the immune information processing mechanism of immune system is involved into original par-ticle swarm optimizer,and the particle swarm optimization algorithms with immunity are proposed.The proposed algo-rithms have both the properties of the original particle swarm optimization algorithm and the immune mechanism of im-mune system,can improve the abilities of seeking the global excellent result and evolution speed.The computer simula-tion results in a multi-dimension function optimization demonstrate that the proposed algorithms are superior to original particle swarm optimization algorithm.
【Fund】: 国家杰出青年基金;; 教育部跨世纪优秀人才基金;; 华南理工大学自然科学基金资助项目
【CateGory Index】: TP301.6
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