An Improved Moth-Flame Optimization algorithm with hybrid search phase

In order to solve real-life problems, several metaheuristic optimization algorithms have been developed. The Moth-Flame Optimization (MFO) algorithm is a search algorithm based on a mechanism called transverse orientation. In this mechanism, the moths tend to maintain a fixed angle with respect to t...

Full description

Saved in:

Bibliographic Details
Published in:	Knowledge-based systems Vol. 191; p. 105277
Main Authors:	Pelusi, Danilo, Mascella, Raffaele, Tallini, Luca, Nayak, Janmenjoy, Naik, Bighnaraj, Deng, Yong
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 05.03.2020 Elsevier Science Ltd
Subjects:	Algorithms Butterflies & moths Constrained optimization Convergence Degeneration Evolutionary algorithms Exploitation Heuristic methods Moon Moth flame optimization Moths Nature-inspired algorithms Optimization Optimization algorithms Search algorithms Moth flame optimization Evolutionary algorithms Nature-inspired algorithms Constrained optimization
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!