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Engineering optimisation by cuckoo search. (English) Zbl 1279.90204
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
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