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Traditionalized Ackley

version 1.0.0.0 (153 KB) by George Evers
Implements the traditional benchmark formulation used in optimization literature

2 Downloads

Updated 06 Dec 2010

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In the global optimization and GADS toolboxes, "ackleyfcn.m" implements a different Ackley formulation than what is commonly used in optimization literature. For those who prefer the traditional benchmark formulation, this fix modifies the Ackley code of the Particle Swarm Optimization Research Toolbox* for compatibility with official MathWorks toolboxes.

To compare formulas, code, and graphs, please see the readme file.

* http://www.mathworks.com/matlabcentral/fileexchange/28291-particle-swarm-optimization-research-toolbox

Cite As

George Evers (2020). Traditionalized Ackley (https://www.mathworks.com/matlabcentral/fileexchange/29632-traditionalized-ackley), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (2)

Nguyen Thieu

Check out my lastest framework for benchmark functions using python (numpy).
https://github.com/thieunguyen5991/opfunu

work wolf

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Traditionalized Ackley Function/