Solution for a Kind of Dynamic Optimization Based on Improved Krill Herd Algorithm
Xingjun Yuan, Yulei Ge, Hao Lu · 2018
Considering a kind of dynamic optimization, an improved krill herd (KH) algorithm which is called GSA-KH is proposed in this paper.The improvements consist of three parts: 1) a good point set is constructed to obtain the initial krill population which can promote the representativeness of the initial population; 2) the speed factor is updated according to the changes of the krill population to accelerate the convergence; 3) an adaptive Cauchy mutation is employed so that the algorithm can escape the local optimum reasonably.Simulations on six test functions illustrate that the convergence and accuracy of GSA-KH algorithm are increased greatly than standard KH algorithm.Then the proposed algorithm is applied to solving a dynamic optimization cases.