Two-stage eagle strategy with differential evolution
Yang, Xin-She 
ORCID: https://orcid.org/0000-0001-8231-5556 and Deb, Suash
(2012)
Two-stage eagle strategy with differential evolution.
International Journal of Bio-Inspired Computation, 4
(1)
.
pp. 1-5.
ISSN 1758-0366
[Article]
(doi:10.1504/IJBIC.2012.044932)
Abstract
Efficiency of an optimisation process is largely determined by the search algorithm and its fundamental characteristics. In a given optimisation, a single type of algorithm is used in most applications. In this paper, we will investigate the eagle strategy recently developed for global optimisation, which uses a two-stage strategy by combing two different algorithms to improve the overall search efficiency. We will discuss this strategy with differential evolution and then evaluate their performance by solving real-world optimisation problems such as pressure vessel and speed reducer design. Results suggest that we can reduce the computing effort by a factor of up to ten in many applications.
(from publisher's website)
| Item Type: | Article |
|---|---|
| Keywords (uncontrolled): | bat algorithm; cuckoo search; eagle strategy; bio-inspired computation; differential evolution; global optimisation; pressure vessel design; speed reducer design. |
| Research Areas: | A. > School of Science and Technology > Design Engineering and Mathematics |
| Item ID: | 9537 |
| Useful Links: | |
| Depositing User: | Teddy ~ |
| Date Deposited: | 15 Nov 2012 14:45 |
| Last Modified: | 10 Jun 2019 13:07 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/9537 |
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