Suite of Evolutionary Optimization Algorithms

Version 1.0.4 (1,3 Mo) par EvoLab
A suite of different evolutionary optimization algorithms
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Mise à jour 2 déc. 2025

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MATLAB implementation of the different evolutionary algorithms for -- currently only -- single unconstraint global optimization.
The library contains:
  • generational genetic algorithm
  • steady state genetic algorithm
  • evolutionary strategy
  • big bang-big crunch algorithm
and a set of benchmark problems to test (i.e., CEC 2008, 2013).
Run the 'optimizeProblem.mat' file. Select your settings from this file.
Developed by F. Stroppa.

Citation pour cette source

EvoLab (2026). Suite of Evolutionary Optimization Algorithms (https://fr.mathworks.com/matlabcentral/fileexchange/182675-suite-of-evolutionary-optimization-algorithms), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2025b
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.0.4

Included elitist and non elitist version of BBBC
1.0.3

Included CEC 2013 for large-scale global optimization (problems can scale from 1d to 1000d). Fixed a small bug on BBBC.
1.0.2

generalized the error calculation between true optimum and best retrieved solution in case of multimodal functions
1.0.1

Included a convergence plot, (µ+λ) evolutionary strategy, indices return for every survival stage
1.0.0