Computer Science ›› 2011, Vol. 38 ›› Issue (3): 248-251.
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LI Yong-mei,ZHOU Yong-quan,YAO Xiang-guang
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Abstract: To improve the glowworm swarm optimization, the behavior of follow of the artificial fish school algorithm and a swarm degree were used. The improved algorithm was used to optimise multi modal functions. The experiment resups show that the algorithm, with the smaller populations and the fewer number of iterations, can simultaneous capture multiple optima of several standard multimodal test function.
Key words: Glowworm swarm optimization, Behavior of follow, Swarm degree, Multimodal function optimization
LI Yong-mei,ZHOU Yong-quan,YAO Xiang-guang. Improved Glowworm Swarm Optimization Based on the Behavior of Follow[J].Computer Science, 2011, 38(3): 248-251.
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