Title: A new local-enhanced cuckoo search algorithm
Authors: Wei-Hong Yang; Jia-Rui Liu; Yi Zhang
Addresses: Department of Computer Science, Jilin Business and Technology College, Changchun 130062, China ' School of Transportation, Jilin University, China ' Department of Computer Science, Jilin Business and Technology College, Changchun 130062, China
Abstract: Cuckoo search algorithm is a recent proposed evolutionary algorithm. However, the local search capability is not efficient when dealing with some multi-modal numerical problems. In this paper, a new local-enhanced cuckoo search algorithm is designed aiming to solve it. Different from the standard version, the local search for each cuckoo is attracted by global best position found by entire swarm. Furthermore, to provide a balance between exploitation and exploration, an inertia weight is introduced. To test the performance, four other algorithms are employed to compare, and simulation results show it achieves the best performance when solve numerical optimisation benchmarks.
Keywords: cuckoo search algorithm; local search pattern; inertia weight.
International Journal of Computing Science and Mathematics, 2017 Vol.8 No.2, pp.175 - 182
Received: 18 Aug 2016
Accepted: 16 Nov 2016
Published online: 21 Apr 2017 *