Genetic Algorithm Toolbox Enhancements
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Resource Overview
Supplementing MATLAB's genetic algorithm toolbox with missing but commonly used crossover and mutation function files to extend functionality and flexibility
Detailed Documentation
This enhancement adds missing yet frequently utilized crossover and mutation function files to MATLAB's genetic algorithm toolbox, thereby expanding its capabilities and adaptability. The implementation includes various crossover techniques such as single-point, two-point, and uniform crossover, along with mutation operators like Gaussian, uniform, and boundary mutation. Each function follows MATLAB's standard genetic algorithm interface pattern, accepting population matrices and parameter structures while returning modified offspring populations. The code incorporates parameter validation, error handling, and vectorized operations for optimal performance with large population sizes.
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