耗散结构和差分变异混合的鸡群算法

Hybrid chicken swarm algorithm with dissipative structure and differential mutation

针对标准鸡群算法在求解高维优化问题时过早收敛于局部最优和收敛速度慢等问题,提出了一种耗散结构和差分变异混合的鸡群算法.该算法通过将耗散结构引入至雄鸡位置的更新公式,扩大了鸡群的搜索空间,增强了算法的全局搜索能力;同时,通过对随机选择的个体进行差分变异操作,增强了算法的收敛性能.对选取的18个标准函数进行仿真实验,结果表明,算法的收敛精度、收敛速度和稳定性均明显优于其他几种算法.

To overcome the drawbacks that the chicken swarm algorithm is liable to fall into the local optimum and is slow when solving the high-dimension problems,this paper proposes a hybrid chicken swarm algorithm with dissipative structure and differential mutation.A dissipative structure is adapted in cock position to enlarge the search space of the whole flock,so as to enhance the global searching ability.Meanwhile,differential mutation is applied in some randomly selected individuals to improve the convergence of the chicken swarm algorithm.Numerical experiments conducted on the 18 classical test functions that the proposed algorithm is superior to other algorithms.