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Adaptive gbest-guided gravitational search algorithm

version 1.1 (85.6 KB) by Seyedali Mirjalili
A gbest-guided gravitational search algorithm

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Updated 22 May 2018

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Adaptive Gbest-guided Gravitational Search Algorithm (GGSA) saves and utilizes the best solution obtained so far (gbest) as an accelerator towards the optimum during optimization.
Please note that this submission is the same as the original GSA algorithm (http://www.mathworks.com.au/matlabcentral/fileexchange/27756-gravitational-search-algorithm--gsa-), yet the only different component is the Move2.m, GGSA.m, and main.m files.
For more information please refer to the following papers:

1) S. Mirjalili, A. Lewis, Adaptive gbest-guided gravitational search algorithm, Neural Computing and Applications, in press, 2014, DOI: http://dx.doi.org/10.1007/s00521-014-1640-y

2) S. Mirjalili, G-G. Wang, L. S. Coelho, Binary optimization using hybrid particle swarm optimization and gravitational search algorithm, Neural Computing and Applications, in press, 2014, DOI: http://dx.doi.org/10.1007/s00521-014-1629-6

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Cite As

Seyedali Mirjalili (2021). Adaptive gbest-guided gravitational search algorithm (https://www.mathworks.com/matlabcentral/fileexchange/47716-adaptive-gbest-guided-gravitational-search-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
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