关键词: 鸡群算法, 杂交, 多分类器, 系数优化

Abstract: For CSO can not get the global optimal value due to the roosters are strapped into??local minima, an improved CSO based on hybrid mutation mechanism is proposed, which applies the hybrid mutation after the hens are updated, making the hens speed up leaving the local optimization points; at the same time, the roosters are replaced by hens with good fitness through the updating mechanism, then the coefficients of the multi-classifier are optimized by the algorithm. The experimental results show that the improved CSO can effectively avoid the local minima. The multi-classifier optimized by the improved CSO has lower error rate and training time.

Key words: improved Chicken Swarm Optimization（CSO）, hybrid mutation, multi-classifier, coefficients optimization