Review of parameter tuning methods for nature-inspired algorithms
Book chapter
Joy, G., Huyck, C. and Yang, X. 2023. Review of parameter tuning methods for nature-inspired algorithms. in: Yang, X. (ed.) Benchmarks and Hybrid Algorithms in Optimization and Applications Singapore Springer. pp. 33-47
Chapter title | Review of parameter tuning methods for nature-inspired algorithms |
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Authors | Joy, G., Huyck, C. and Yang, X. |
Contributors | |
Contact person | Yang, X. |
Abstract | Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can largely influence the behaviour of the algorithm under consideration. Thus, proper parameter tuning should be carried out to ensure the algorithm used for optimization may perform well and can be sufficiently robust for solving different types of optimization problems. This chapter reviews some of the main methods for parameter tuning and then highlights the important issues concerning the latest development in parameter tuning. A few open problems are also discussed with some recommendations for future research. |
Keywords | Algorithm; Parameter tuning; Nature-inspired algorithms; Optimization |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Research Group | Artificial Intelligence group |
Page range | 33-47 |
Book title | Benchmarks and Hybrid Algorithms in Optimization and Applications |
Editors | Yang, X. |
Publisher | Springer |
Place of publication | Singapore |
Series | Springer Tracts in Nature-Inspired Computing |
ISBN | |
Hardcover | 9789819939695 |
Paperback | 9789819939725 |
Electronic | 9789819939701 |
ISSN | 2524-552X |
Electronic | 2524-5538 |
Copyright Year | 2023 |
Publication dates | |
Online | 22 Aug 2023 |
22 Aug 2023 | |
Publication process dates | |
Accepted | May 2023 |
Deposited | 15 Jan 2024 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | This version of the chapter has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-981-99-3970-1_3 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-981-99-3970-1_3 |
Related Output | |
Is part of | https://link.springer.com/book/10.1007/978-981-99-3970-1 |
Language | English |
https://repository.mdx.ac.uk/item/v174z
Restricted files
Accepted author manuscript
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