Combination of krill herd algorithm with chaos theory in global optimization problems

Krill herd optimization algorithm is a biological optimized algorithm which simulates Krill group social behavior in order to solve global optimization problems. The position of each krill in time period is dependent on induced movement of other krills, foraging activity and physical diffusion. In this paper, chaos theory is combined with KHA to improve global optimization problems, which acts on random specifications of this algorithm and logistic chaotic mapping is used in physical diffusion. The proposed method is being evaluated in some problems. Result indicate that krill chaotic algorithm has better performance than standard krill algorithm.