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...

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Main Authors:	Haruna, Chiroma, Shuib, Liyana, Abdullahi Muaz, Sanah, Abubakar, Adamu, Baballe Ila, Lubabatu, Zubairu Maitama, Jaafar
Format:	Conference or Workshop Item
Language:	English English
Published:	2015
Subjects:	Z665 Library Science. Information Science
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

id	iium-44731
recordtype	eprints
spelling	iium-447312017-09-23T06:34:17Z http://irep.iium.edu.my/44731/ A review of the applications of bio-inspired flower pollination algorithm Haruna, Chiroma Shuib, Liyana Abdullahi Muaz, Sanah Abubakar, Adamu Baballe Ila, Lubabatu Zubairu Maitama, Jaafar Z665 Library Science. Information Science 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 2015-03-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/44731/1/Elsevier_2.pdf application/pdf en http://irep.iium.edu.my/44731/4/44731_A%20review%20of%20the%20applications%20of%20bio-inspired%20Flower_Scopus.pdf 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. http://softengconf.org/ 10.1016/j.procs.2015.08.438
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	Z665 Library Science. Information Science
spellingShingle	Z665 Library Science. Information Science Haruna, Chiroma Shuib, Liyana Abdullahi Muaz, Sanah Abubakar, Adamu Baballe Ila, Lubabatu Zubairu Maitama, Jaafar A review of the applications of bio-inspired flower pollination algorithm
description	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
format	Conference or Workshop Item
author	Haruna, Chiroma Shuib, Liyana Abdullahi Muaz, Sanah Abubakar, Adamu Baballe Ila, Lubabatu Zubairu Maitama, Jaafar
author_facet	Haruna, Chiroma Shuib, Liyana Abdullahi Muaz, Sanah Abubakar, Adamu Baballe Ila, Lubabatu Zubairu Maitama, Jaafar
author_sort	Haruna, Chiroma
title	A review of the applications of bio-inspired flower pollination algorithm
title_short	A review of the applications of bio-inspired flower pollination algorithm
title_full	A review of the applications of bio-inspired flower pollination algorithm
title_fullStr	A review of the applications of bio-inspired flower pollination algorithm
title_full_unstemmed	A review of the applications of bio-inspired flower pollination algorithm
title_sort	review of the applications of bio-inspired flower pollination algorithm
publishDate	2015
url	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
first_indexed	2023-09-18T21:03:34Z
last_indexed	2023-09-18T21:03:34Z
_version_	1777410784497762304

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

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