Applications and analysis of bio-inspired eagle strategy for engineering optimization
Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556, Karamanoglu, Mehmet
ORCID: https://orcid.org/0000-0002-5049-2993, Ting, T. O. and Zhao, Yu-Xin
(2014)
Applications and analysis of bio-inspired eagle strategy for engineering optimization.
Neural Computing and Applications, 25
(2)
.
pp. 411-420.
ISSN 0941-0643
[Article]
(doi:10.1007/s00521-013-1508-6)
Abstract
All swarm-intelligence-based optimization algorithms use some stochastic components to increase the diversity of solutions during the search process. Such randomization is often represented in terms of random walks. However, it is not yet clear why some randomization techniques (and thus why some algorithms) may perform better than others for a given set of problems. In this work, we analyze these randomization methods in the context of nature-inspired algorithms. We also use eagle strategy to provide basic observations and relate step sizes and search efficiency using Markov theory. Then, we apply our analysis and observations to solve four design benchmarks, including the designs of a pressure vessel, a speed reducer, a PID controller, and a heat exchanger. Our results demonstrate that eagle strategy with Lévy flights can perform extremely well in reducing the overall computational efforts.
Item Type: | Article |
---|---|
Research Areas: | A. > School of Science and Technology > Design Engineering and Mathematics |
Item ID: | 15650 |
Useful Links: | |
Depositing User: | Xin-She Yang |
Date Deposited: | 30 Apr 2015 14:24 |
Last Modified: | 09 Sep 2020 12:58 |
URI: | https://eprints.mdx.ac.uk/id/eprint/15650 |
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