Biogeography-Based Optimization Model Based on Gaussian Mutation
Chen Ji-li · Jisuanji fangzhen · 2013
The Biogeography-Based Optimization(BBO) is a new swarm intelligence algorithm which has shown impressive performance and been applicated in many fields.To improve the accuracy of the BBO,the mutation strategy which is one of the two basic operators was researched,and the BBO based on Gaussian mutation strategy was given. The basic principles and processes of BBO were described,and the mutation strategy of BBO was analyzed.Several test functions were used for simulation experiments,the experimental results indicate that different mutation strategies with the same migration rate models in BBO have a greater impact on the algorithm to optimize performance.The algorithm with Gaussian mutation strategy optimizes the performance better than the algorithm with random mutation strategy.The experimental results also show that the number of habitats results in significant changes in performance.