Chaotic evolution optimization
Chaotic evolution optimization: A novel metaheuristic algorithm inspired by chaotic dynamics
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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.
Cite As
Yingchao (2026). Chaotic evolution optimization (https://www.mathworks.com/matlabcentral/fileexchange/183362-chaotic-evolution-optimization), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (4.52 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
