A new local-enhanced cuckoo search algorithm. (2017)

• Record Type: Journal Article
• Authors: Yang, Wei-Hong; Liu, Jia-Rui; Zhang, Yi
• Is Part Of: International journal of computing science and mathematics. Volume 8:Number 2(2017)
• Page Start: 175
• Page End: 182
• Publication Date: 2017
• Subjects: cuckoo search algorithm -- local search pattern -- inertia weight; Mathematics -- Periodicals; Computer science -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.285
• Languages: English
• ISSNs: 1752-5055

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.