Authors: Xin-She Yang, Suash Deb
Addresses: Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK. ' Department of Computer Science & Engineering, C. V. Raman College of Engineering, Bidyanagar, Mahura, Janla, Bhubaneswar 752054, India
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.
Keywords: cuckoo search; engineering optimisation; metaheuristics; particle swarm optimisation; PSO; engineering design; design optimisation; springs; welded beam structures; spring design.
International Journal of Mathematical Modelling and Numerical Optimisation, 2010 Vol.1 No.4, pp.330 - 343
Published online: 30 Sep 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article