The Genetic Algorithm (GA) : Selection + Crossover + Mutation + Elitism

Version 1.0.0.0 (5.29 KB) by Seyedali Mirjalili
This is the implementation of the original version of the genetic algorithm
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7.6K Downloads
Updated 11 Jun 2018

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This submission includes the main components of the Genetic Algorithm (GA) including Selection + Crossover + Mutation + Elitism. There are functions for each and the GA has been developed as a function as well. Of course, it is the discrete (binary) version of the GA algorithm since all the genes can be assigned with either 0 or 1.
More information can be found in www.alimirjalili.com
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Cite As

Seyedali Mirjalili (2024). The Genetic Algorithm (GA) : Selection + Crossover + Mutation + Elitism (https://www.mathworks.com/matlabcentral/fileexchange/67435-the-genetic-algorithm-ga-selection-crossover-mutation-elitism), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0

An update to the selection operator (Roulette wheel) to handle negative fitness values too.