Chaotic evolution optimization
Chaotic evolution optimization: A novel metaheuristic algorithm inspired by chaotic dynamics
Vous suivez désormais cette soumission
- Les mises à jour seront visibles dans votre flux de contenu suivi
- Selon vos préférences en matière de communication il est possible que vous receviez des e-mails
A novel population-based metaheuristic algorithm inspired by chaotic dynamics, called chaotic evolution optimization (CEO), is proposed. The main inspiration for CEO is derived from the chaotic evolution process of a two-dimensional discrete memristive map. By leveraging the hyperchaotic properties of the memristive map, the CEO algorithm is mathematically modeled to introduce random search directions for evolutionary processes. Then, the CEO is developed by integrating the crossover and mutation operations from the differential evolution (DE) framework.
Citation pour cette source
Yingchao (2026). Chaotic evolution optimization (https://fr.mathworks.com/matlabcentral/fileexchange/183362-chaotic-evolution-optimization), MATLAB Central File Exchange. Extrait(e) le .
Informations générales
- Version 1.0.0 (4,52 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0 |
