Applications and analysis of bio-inspired eagle strategy for engineering optimization
Article
Yang, X., Karamanoglu, M., Ting, T. and Zhao, Y. 2014. Applications and analysis of bio-inspired eagle strategy for engineering optimization. Neural Computing and Applications. 25 (2), pp. 411-420. https://doi.org/10.1007/s00521-013-1508-6
Type | Article |
---|---|
Title | Applications and analysis of bio-inspired eagle strategy for engineering optimization |
Authors | Yang, X., Karamanoglu, M., Ting, T. and Zhao, Y. |
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. |
Keywords | Algorithm; Eagle strategy; Levy flight; Markov theory; Random walks; Optimization |
Publisher | Springer |
Journal | Neural Computing and Applications |
ISSN | 0941-0643 |
Electronic | 1433-3058 |
Publication dates | |
Online | 09 Nov 2013 |
31 Aug 2014 | |
Publication process dates | |
Deposited | 30 Apr 2015 |
Submitted | 16 Feb 2013 |
Accepted | 17 Oct 2013 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00521-013-1508-6 |
Web of Science identifier | WOS:000339387600017 |
Language | English |
https://repository.mdx.ac.uk/item/8537w
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