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Review of modified and hybrid flower pollination algorithms for solving optimization problems

Lazim, D. and Zain, A. M. and Bahari, M. and Omar, A. H. (2017) Review of modified and hybrid flower pollination algorithms for solving optimization problems. Artificial Intelligence Review . pp. 1-31. ISSN 0269-2821 (In Press)

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Abstract

Flower pollination algorithm (FPA) is a nature-inspired meta-heuristics to handle a large scale optimization process. This paper reviews the previous studies on the application of FPA, modified FPA and hybrid FPA for solving optimization problems. The effectiveness of FPA for solving the optimization problems are highlighted and discussed. The improvement aspects include local and global search strategies and the quality of the solutions. The measured enhancements in FPA are based on various research domains. The results of review indicate the capability of the enhanced and hybrid FPA for solving optimization problems in variety of applications and outperformed the results of other established optimization techniques.

Item Type:Article
Uncontrolled Keywords:Application, Comparison, Flower pollination algorithm, Hybridization, Modification, Optimization, Review
Subjects:G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System
Divisions:Geoinformation and Real Estate
ID Code:77181
Deposited By: Fazli Masari
Deposited On:31 May 2018 17:50
Last Modified:31 May 2018 17:50

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