A Novel Cuckoo Search with Chaos Theory and Elitism Scheme
Gai‐Ge Wang, Suash Deb, Amir H. Gandomi, Zhaojun Zhang, Amir H. Alavi · 2014
This study proposes a novel chaotic cuckoo search (CCS) optimization method by introducing chaotic theory into cuckoo search (CS) algorithm. In CCS, chaos characteristics are combined with the CS with the intention of further enhancing its performance. Further, the elitism scheme is incorporated into CCS in order to preserve the best cuckoos. In the CCS method, twelve chaotic maps are applied to tune the step size of the cuckoos used in the original CS method. Twenty-two benchmark functions are utilized to investigate the efficiency of CCS. The results show that the performance of CCS together with a suitable chaotic map are comparable as well as superior to that of the CS and other metaheuristic algorithms.