A review of the applications of bio-inspired flower pollination algorithm
The Flower Pollination Algorithm (FPA) is a novel bio-inspired optimization algorithm that mimics the real life processes of the flower pollination. In this paper, we review the applications of the Single Flower Pollination Algorithm (SFPA), Multi-objective Flower Pollination Algorithm an extensio...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/44731/ http://irep.iium.edu.my/44731/ http://irep.iium.edu.my/44731/ http://irep.iium.edu.my/44731/1/Elsevier_2.pdf http://irep.iium.edu.my/44731/4/44731_A%20review%20of%20the%20applications%20of%20bio-inspired%20Flower_Scopus.pdf |
| Summary: | The Flower Pollination Algorithm (FPA) is a novel bio-inspired optimization algorithm that mimics the real life processes of the
flower pollination. In this paper, we review the applications of the Single Flower Pollination Algorithm (SFPA), Multi-objective
Flower Pollination Algorithm an extension of the SFPA and the Hybrid of FPA with other bio-inspired algorithms. The review has
shown that there is still a room for the extension of the FPA to Binary FPA. The review presented in this paper can inspire
researchers in the bio-inspired algorithms research community to further improve the effectiveness of the PFA as well as to apply
the algorithm in other domains for solving real life, complex and nonlinear optimization problems in engineering and industry.
Further research and open questions were highlighted in the paper |
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