Genetic-Algorithm-MATLAB V1.0

Version 1.0 (261 KB) by AZMYIN MD KAMAL
MATLAB implementation of a basic genetic algorithm. Always crossover, no mutation and elitisms. Graduate assignment
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Updated 19 Oct 2020
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A basic genetic algorithm as part of a graduate level assignment. Look inside the .mlx file for detailed problem description.

Constraints
N = number of candidates must be even number in Generation 1
X = number of variables = 2 (not written to be generalized, will be expanded upon in next release).
variable scale = must be same for both variables. Will be expanded to accommodate individual scale
encoding = 8 bit per variable, 16 bit genome

Code is not meant for advanced research but as a template for more advanced version of genetic algorithm. Does not use any built in optimizer.
Contains helpful comments for ease of understanding

Cite As

AZMYIN MD KAMAL (2026). Genetic-Algorithm-MATLAB V1.0 (https://github.com/Mechazo11/Genetic-Algorithm-MATLAB/releases/tag/V1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with R2013b and later releases
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.