Engineering optimisation by cuckoo search
Full text is not in this repository.
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 > Computer and Communications Engineering|
|Deposited On:||19 Nov 2012 11:47|
|Last Modified:||04 Aug 2014 14:36|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year