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A review of the applications of bio-inspired flower pollination algorithm

Haruna, Chiroma and Shuib, Liyana and Abdullahi Muaz, Sanah and Abubakar, Adamu and Baballe Ila, Lubabatu and Zubairu Maitama, Jaafar (2015) A review of the applications of bio-inspired flower pollination algorithm. In: 2015 International Conference on Soft Computing and Software Engineering (SCSE'15), 5-6 March 2015, Berkeley, California.

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Official URL: http://softengconf.org/

Abstract

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

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 7132/44731
Uncontrolled Keywords: Flower Pollination Algorithm; Single Objective Flower Pollination Algorithm; Multi-objective Flower Pollination Algorithm; Hybrid Flower Pollination Algorithm
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Dr Adamu Abubakar
Date Deposited: 15 Sep 2015 14:56
Last Modified: 23 Sep 2017 14:34
URI: http://irep.iium.edu.my/id/eprint/44731

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