Engineering optimisation by cuckoo search
Yang, Xin-She 
ORCID: https://orcid.org/0000-0001-8231-5556 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)
Abstract
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 |
| Useful Links: | |
| Depositing User: | Teddy ~ |
| Date Deposited: | 19 Nov 2012 11:47 |
| Last Modified: | 10 Jun 2019 13:07 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/9567 |
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