GSA + Chaotic Gravitational Constant

Improving Gravitational Search Algorithm with chaotic gravitational constant
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.

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Cite As

Seyedali Mirjalili (2024). GSA + Chaotic Gravitational Constant (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
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Inspired by: Gravitational Search Algorithm (GSA)

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