Engineering optimisation by cuckoo search

Yang, Xin-She ORCID logoORCID: and Deb, Suash (2010) Engineering optimisation by cuckoo search. International Journal of Mathematical Modelling and Numerical Optimisation, 1 (4) . 330 -343. ISSN 2040-3607 [Article] (doi:10.1504/IJMMNO.2010.03543)


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 de-signed 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 ptimiser. We will discuss the unique search features used in CS and the implications for fur-ther research.

Item Type: Article
Keywords (uncontrolled): cuckoo search, engineering optimisation, metaheuristics, particle swarm optimisation, PSO, engineering design, design optimisation, springs, welded beam structures, spring design
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9567
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Depositing User: Teddy ~
Date Deposited: 19 Nov 2012 11:47
Last Modified: 10 Jun 2019 13:07

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