Genetic-Algorithm-MATLAB V1.0

MATLAB implementation of a basic genetic algorithm. Always crossover, no mutation and elitisms. Graduate assignment
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Mise à jour 19 oct. 2020

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

Citation pour cette source

AZMYIN MD KAMAL (2024). Genetic-Algorithm-MATLAB V1.0 (https://github.com/Mechazo11/Genetic-Algorithm-MATLAB/releases/tag/V1.0), GitHub. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2020b
Compatible avec les versions R2013b et ultérieures
Plateformes compatibles
Windows macOS Linux
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GA_Version_1

Version Publié le Notes de version
1.0

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.