Bacterial colony chemotaxis algorithm based on differential evolution and chaos migration
Nian Liu · Control theory & applications · 2009
Bacterial colony chemotaxis(BCC) algorithm is a new colony intelligence optimization algorithm.The influence of the relative parameters to the performance of BCC is studied;and the control strategies for parameters are proposed.The basic BCC algorithm has the disadvantage of being trapped into the local minimum.Therefore,some improvements are adopted in the new algorithm,including adjusting the perception scope of self-adaptation,adding differential evolutionary individual when the bacteria choose their next locations,and taking chaos transfer mechanism.The ability to get rid of the local optimum is thus greatly improved.Finally,the experimental results show that the new algorithm improves the global optimization performance.