Flower pollination algorithm: a novel approach for multiobjective optimization
Article
Yang, X., Karamanoglu, M. and He, X. 2014. Flower pollination algorithm: a novel approach for multiobjective optimization. Engineering Optimization. 46 (9), pp. 1222-1237. https://doi.org/10.1080/0305215X.2013.832237
Type | Article |
---|---|
Title | Flower pollination algorithm: a novel approach for multiobjective optimization |
Authors | Yang, X., Karamanoglu, M. and He, X. |
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. |
Keywords | algorithm; flower pollination algorithm; metaheuristics; benchmark; optimization |
Publisher | Taylor and Francis |
Journal | Engineering Optimization |
ISSN | 0305-215X |
Electronic | 1029-0273 |
Publication dates | |
Online | 04 Oct 2013 |
02 Sep 2014 | |
Publication process dates | |
Deposited | 25 Apr 2016 |
Accepted | 10 Jul 2013 |
Submitted | 18 Apr 2013 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | 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 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/0305215X.2013.832237 |
Web of Science identifier | WOS:000335851800005 |
Language | English |
https://repository.mdx.ac.uk/item/864y6
Download files
66
total views11
total downloads1
views this month1
downloads this month