Paper Info
Title
A Review of the Applications of Bio-inspired Flower Pollination Algorithm
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.
Year
DOI
Venue
2015
10.1016/j.procs.2015.08.438
Procedia Computer Science
Keywords
Field
DocType
Flower Pollination Algorithm,Single Objective Flower Pollination Algorithm,Multi-objective Flower Pollination Algorithm,Hybrid Flower Pollination Algorithm
Computer science,Nonlinear programming,Algorithm,Optimization algorithm,Artificial intelligence,Pollination,Machine learning,Binary number
Conference
Volume
ISSN
Citations 
62
1877-0509
15
PageRank 
References 
Authors
0.61
14
6
Name
Order
Citations
PageRank
Haruna Chiroma114124.31
Nor Liyana Mohd Shuib27211.65
Sanah Abdullahi Muaz3233.55
Adamu I. Abubakar45111.60
Lubabatu Baballe Ila5150.61
Jaafar Zubairu Maitama6150.61