Enhanced Multi-Objective Particle Swarm Optimization Algorithm

Enhanced Multi-Objective Particle Swarm Optimization Algorithm effectively solves classic multi-objective optimization problems including ZDT, KUR, and SCH benchmark functions. The implementation requires only modifications to the f1 and f2 objective functions, featuring adaptive velocity updates and Pareto dominance mechanisms for efficient convergence.