Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
