MATLAB Implementation for Multi-Objective Optimization Problems

Multi-objective optimization using genetic algorithms with progressive reduction of offspring population size, ultimately stabilizing at 10 chromosomal individuals. This approach demonstrates efficient Pareto front convergence through controlled population dynamics.