Engineering optimisation by cuckoo search
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Official URL: http://inderscience.metapress.com/content/34224687...
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.
|Keywords (uncontrolled):||cuckoo search, engineering optimisation, metaheuristics, particle swarm optimisation, PSO, engineering design, design optimisation, springs, welded beam structures, spring design|
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Design Engineering and Mathematics|
|Deposited On:||19 Nov 2012 11:47|
|Last Modified:||04 Dec 2014 17:07|
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