Explore MATLAB source code curated for "非支配排序" with clean implementations, documentation, and examples.
MATLAB implementation of NSGA (Non-dominated Sorting Genetic Algorithm) for solving multi-objective optimization problems, featuring customizable code structure with detailed comments on genetic operations and Pareto front selection mechanisms.
NSGA-II multi-objective reactive power optimization algorithm implementing genetic algorithm, non-dominated sorting, and forward-backward sweep power flow calculation methods with population initialization, crossover, mutation operations and Pareto front solutions
Genetic Algorithm (GA) for Multi-Objective Optimization Problems