Moth-flame Optimization (MFO) Algorithm

MFO is a novel meta-heuristic algorithm for solving optimization problems
3,8K download
Aggiornato 22 mag 2018

Visualizza la licenza

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

I have a number of relevant courses in this area. You can enrol via the following links with 95% discount:

*******************************************************************************************************************************************
A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF

A course on “Introduction to Genetic Algorithms: Theory and Applications”
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF
*******************************************************************************************************************************************

Cita come

Seyedali Mirjalili (2024). Moth-flame Optimization (MFO) Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/52269-moth-flame-optimization-mfo-algorithm), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2011b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Global Optimization Toolbox in Help Center e MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!