Engineering optimisation by cuckoo search. (English) Zbl 1279.90204

Yang, Xin-She; Deb, Suash

Int. J. Math. Model. Numer. Optim. 1, No. 4, 330-343 (2010).

Summary: 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.

MSC:

90C59	Approximation methods and heuristics in mathematical programming
90C90	Applications of mathematical programming
68T05	Learning and adaptive systems in artificial intelligence

Keywords:

cuckoo search; engineering optimisation; metaheuristics; particle swarm optimisation