Flower pollination algorithm: a novel approach for multiobjective optimization
Yang, Xin-She 
ORCID: https://orcid.org/0000-0001-8231-5556, Karamanoglu, Mehmet ORCID: https://orcid.org/0000-0002-5049-2993 and He, Xingshi
(2014)
Flower pollination algorithm: a novel approach for multiobjective optimization.
Engineering Optimization, 46
(9)
.
pp. 1222-1237.
ISSN 0305-215X
[Article]
(doi:10.1080/0305215X.2013.832237)
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- Final accepted version (with author's formatting)
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Abstract
Multiobjective design optimization problems require multiobjective optimization techniques to solve, and it is often very challenging to obtain high-quality Pareto fronts accurately. In this article, the recently developed flower pollination algorithm (FPA) is extended to solve multiobjective optimization problems. The proposed method is used to solve a set of multiobjective test functions and two bi-objective design benchmarks, and a comparison of the proposed algorithm with other algorithms has been made, which shows that the FPA is efficient with a good convergence rate. Finally, the importance for further parametric studies and theoretical analysis is highlighted and discussed.
| Item Type: | Article |
|---|---|
| Additional Information: | Published online: 04 Oct 2013 |
| Research Areas: | A. > School of Science and Technology > Design Engineering and Mathematics |
| Item ID: | 19520 |
| Notes on copyright: | This is an Accepted Manuscript of an article published by Taylor & Francis in Engineering Optimization on 04 Oct 2013, available online: http://www.tandfonline.com/10.1080/0305215X.2013.832237 |
| Useful Links: | |
| Depositing User: | Xin-She Yang |
| Date Deposited: | 25 Apr 2016 09:47 |
| Last Modified: | 29 Nov 2022 23:24 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/19520 |
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