Two-stage eagle strategy with differential evolution
Article
Yang, X. and Deb, S. 2012. Two-stage eagle strategy with differential evolution. International Journal of Bio-Inspired Computation. 4 (1), pp. 1-5. https://doi.org/10.1504/IJBIC.2012.044932
Type | Article |
---|---|
Title | Two-stage eagle strategy with differential evolution |
Authors | Yang, X. and Deb, S. |
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. |
Keywords | bat algorithm; Cuckoo search; eagle strategy; ES; bio-inspired computation; differential evolution; DE; optimisation |
Publisher | Inderscience |
Journal | International Journal of Bio-Inspired Computation |
ISSN | 1758-0366 |
Electronic | 1758-0374 |
Publication dates | |
Online | 17 Jan 2012 |
2012 | |
Publication process dates | |
Deposited | 15 Nov 2012 |
Output status | Published |
Web address (URL) | https://www.inderscienceonline.com/doi/abs/10.1504/IJBIC.2012.044932?journalCode=ijbic |
Digital Object Identifier (DOI) | https://doi.org/10.1504/IJBIC.2012.044932 |
Web of Science identifier | WOS:000308614800001 |
Language | English |
https://repository.mdx.ac.uk/item/83w5x
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