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 (doi:10.1080/0305215X.2013.832237)

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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
Depositing User: Xin-She Yang
Date Deposited: 25 Apr 2016 09:47
Last Modified: 11 Jun 2019 21:00
URI: https://eprints.mdx.ac.uk/id/eprint/19520

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