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Moth-flame Optimization (MFO) Algorithm

version 1.0.0.0 (207 KB) by Seyedali Mirjalili
MFO is a novel meta-heuristic algorithm for solving optimization problems

2.8K Downloads

Updated 22 May 2018

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The main inspiration of this optimizer is the navigation method of moths in nature called transverse orientation. Moths fly in night by maintaining a fixed angle with respect to the moon, a very effective mechanism for travelling in a straight line for long distances. However, these fancy insects are trapped in a useless/deadly spiral path around artificial lights. The MFO algorithm mathematically models this behaviour to perform optimization.
This is the source codes of the paper:
S. Mirjalili, Moth-Flame Optimization Algorithm: A Novel Nature-inspired Heuristic Paradigm, Knowledge-Based Systems, DOI: http://dx.doi.org/10.1016/j.knosys.2015.07.006
(http://www.sciencedirect.com/science/article/pii/S0950705115002580)
More information can be found in: http://www.alimirjalili.com/MFO.html

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Cite As

Seyedali Mirjalili (2021). Moth-flame Optimization (MFO) Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/52269-moth-flame-optimization-mfo-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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