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GSA + Chaotic Gravitational Constant

version 1.0.0.0 (64.2 KB) by Seyedali Mirjalili
Improving Gravitational Search Algorithm with chaotic gravitational constant

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Updated 22 May 2018

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This work embeds ten chaotic maps into the gravitational constant (G) of the recently proposed population-based meta-heuristic algorithm called Gravitational Search Algorithm (GSA). Also, an adaptive normalization method is proposed to transit from the exploration phase to the exploitation phase smoothly. As case studies, twelve shifted and biased benchmark functions evaluate the performance of the proposed chaos-based GSA algorithms in terms of exploration and exploitation.

Link to the article: http://www.sciencedirect.com/science/article/pii/S1568494617300121
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Cite As

Seyedali Mirjalili (2020). GSA + Chaotic Gravitational Constant (https://www.mathworks.com/matlabcentral/fileexchange/61116-gsa-chaotic-gravitational-constant), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (3)

Matlab

Hi In all chaotic map g(i)=x(i)*value, Is this step represents the normalized of chaotic map?

Matlab

Hi
In all chaotic map g(i)=x(i)*value, this step represents the normalized of chaotic map.

Updates

1.0.0.0

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

1.0.0.0

Link to the article has been added to the description.

1.0.0.0

Typo in the descriptions.

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Gravitational Search Algorithm (GSA)