Engineering optimisation by cuckoo search. (1st October 2010)

• Record Type: Journal Article
• Authors: Yang, Xin-She; Deb, Suash
• Is Part Of: International journal of mathematical modelling and numerical optimisation. Volume 1:Number 4(2010)
• Page Start: 330
• Page End: 343
• Publication Date: 2010-10-01
• Subjects: cuckoo search -- engineering optimisation -- metaheuristics -- particle swarm optimisation -- PSO -- engineering design -- design optimisation -- springs -- welded beam structures -- spring design; Mathematical models -- Periodicals; Mathematical optimization -- Periodicals; 519.605
• Languages: English
• ISSNs: 2040-3607

Abstract

A new metaheuristic optimisation algorithm, called cuckoo search (CS), was developed recently by Yang and Deb (2009). This paper presents a more extensive comparison study using some standard test functions and newly designed stochastic test functions. We then apply the CS algorithm to solve engineering design optimisation problems, including the design of springs and welded beam structures. The optimal solutions obtained by CS are far better than the best solutions obtained by an efficient particle swarm optimiser. We will discuss the unique search features used in CS and the implications for further research.