The Whale Optimization Algorithm

WOA is a new algorithm for solving single-objective optimization problems
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Actualizado 22 May 2018

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The Whale Optimization Algorithm (WOA) is a new optimization technique for solving optimization problems. This algorithm includes three operators to simulate the search for prey, encircling prey, and bubble-net foraging behavior of humpback whales.
This is the source codes of the paper:
S. Mirjalili, A. Lewis, The Whale Optimization Algorithm, Advances in Engineering Software , in press, 2016, DOI: http://dx.doi.org/10.1016/j.advengsoft.2016.01.008

Link: http://www.sciencedirect.com/science/article/pii/S0965997816300163

A Matlab toolbox for this algorithm can be found here: http://au.mathworks.com/matlabcentral/fileexchange/55670-whale-optimization-algorithm-toolbox

If you have no access to the paper, please drop me an email at ali.mirjalili@gmail.com and I will send you the paper.

All of the source codes and extra information as well as more optimization techniques can be found in my personal website at http://www.alimirjalili.com

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

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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
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Citar como

Seyedali Mirjalili (2024). The Whale Optimization Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/55667-the-whale-optimization-algorithm), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2012b
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Versión Publicado Notas de la versión
1.0.0.0

A link to the toolbox has been added to the descriptions.
Links added:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF

A few comments have been amended in the main.m file.