Multi-Objective Evolutionary Optimization Algorithm: NSGA2 Implementation with Toolbox
The NSGA2 source code represents one of the most effective multi-objective evolutionary algorithms with superior convergence properties, featuring a comprehensive toolbox that facilitates implementation of various multi-objective optimization algorithms through modular functions for non-dominated sorting, crowding distance calculation, and genetic operations.