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

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.