Bat Algorithm Demo
A Graphical illustration of Bat Optimization Algorithm applied on eggcrate function.
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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.
인용 양식
Haydar Khayou (2026). Bat Algorithm Demo (https://kr.mathworks.com/matlabcentral/fileexchange/76685-bat-algorithm-demo), MATLAB Central File Exchange. 검색 날짜: .
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.2.4 | Showing Optimum bat in different color than the swarm |
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| 1.2.3 | The user can determine whether eggcrate function is viewed as surf or contour map. |
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| 1.2.2 | Display of the results has been enhanced |
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| 1.2.1 | The output in this version has been edited to fit the Eggcrate function. |
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| 1.2.0 | In this version, the output display has been enhanced. |
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| 1.1.0 | A parameter (epsilon) has been added to control the step size when searching near the global best. |
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| 1.0.0 |
