Bat Algorithm Demo

Version 1.2.4 (3,67 ko) par Haydar Khayou
A Graphical illustration of Bat Optimization Algorithm applied on eggcrate function.
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Mise à jour 21 juin 2020

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In this demonstration, Standard Bat Algorithm is validated using eggcrate function. I have included a graphical illustration of the bats movements throughout the iterations. This way the user can get a clearer idea on how the algorithm works, as well as calibrating the algorithm coefficients to fit the search space of any optimization problem.

Take a look at: Bat Optimization Algorithm v1.0.0 at:
https://www.mathworks.com/matlabcentral/fileexchange/76631-bat-optimization-algorithm?s_tid=srchtitle

And: Bat Algorithm 1.1.0 at:
https://www.mathworks.com/matlabcentral/fileexchange/76643-bat-algorithm-1-1-0?s_tid=srchtitle

References: XS Yang (2020). The Standard Bat Algorithm (BA) (https://www.mathworks.com/matlabcentral/fileexchange/74768-the-standard-bat-algorithm-ba), MATLAB Central File Exchange. Retrieved June 6, 2020.

Citation pour cette source

Haydar Khayou (2024). Bat Algorithm Demo (https://www.mathworks.com/matlabcentral/fileexchange/76685-bat-algorithm-demo), MATLAB Central File Exchange. Récupéré le .

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Créé avec R2017a
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Version Publié le Notes de version
1.2.4

Showing Optimum bat in different color than the swarm
1.2.3

The user can determine whether eggcrate function is viewed as surf or contour map.
1.2.2

Display of the results has been enhanced
1.2.1

The output in this version has been edited to fit the Eggcrate function.
1.2.0

In this version, the output display has been enhanced.
1.1.0

A parameter (epsilon) has been added to control the step size when searching near the global best.
1.0.0