Ant Lion Optimizer (ALO)

ALO is a novel meta-heuristic algorithm for global optimization
5,8K téléchargements
Mise à jour 22 mai 2018

Afficher la licence

The Ant Lion Optimizer (ALO) mimics the hunting mechanism of antlions in nature. Five main steps of hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are implemented.
This is the source codes of the paper:
Seyedali Mirjalili, The Ant Lion Optimizer, Advances in Engineering Software, Volume 83, May 2015, Pages 80-98, ISSN 0965-9978, http://dx.doi.org/10.1016/j.advengsoft.2015.01.010.
(http://www.sciencedirect.com/science/article/pii/S0965997815000113)
More information can be found in: http://www.alimirjalili.com/ALO.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
*******************************************************************************************************************************************

Citation pour cette source

Seyedali Mirjalili (2024). Ant Lion Optimizer (ALO) (https://www.mathworks.com/matlabcentral/fileexchange/49920-ant-lion-optimizer-alo), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2011b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Global Optimization Toolbox dans Help Center et MATLAB Answers

Community Treasure Hunt

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

Start Hunting!
Version Publié le Notes de version
1.0

Links added:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF

Download links for the paper have been updated