Computer Science ›› 2011, Vol. 38 ›› Issue (7): 220-224.
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HUANG Zhcng-xin,ZHOU Yong-quan
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Abstract: Because the GSO algorithm has slow convergence and low precision defects when optimizing the multi modal function, a self-adaptive step glowworm swarm optimization(SASGSO ) algorithms was proposed in this paper. This algorithm can overcome slow convergence and low precision defects of the GSO algorithm simultaneously it can find all peaks of the multi-modal function. Experiments show that,the SASGSO algorithm has the advantages of simple operation,easy to understand,fast convergence rates and high precision.
Key words: Glowworm, Multimodal function, GSO, SASGSO
HUANG Zhcng-xin,ZHOU Yong-quan. Self-adaptive Step Glowworm Swarm Optimization Algorithm for Optimizing Multimodal Functions[J].Computer Science, 2011, 38(7): 220-224.
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