Computer Science ›› 2011, Vol. 38 ›› Issue (7): 220-224.

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Self-adaptive Step Glowworm Swarm Optimization Algorithm for Optimizing Multimodal Functions

HUANG Zhcng-xin,ZHOU Yong-quan   

  • Online:2018-11-16 Published:2018-11-16

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

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