Multi-Objective Pareto Optimal Solution Search Algorithm
Multi-objective optimization involves two or more competing objectives under constraints, where optimizing one objective often sacrifices others, resulting in multiple non-dominated optimal solutions known as Pareto optimal solutions. The Fast Nondominated Sorting Genetic Algorithm II (NSGA-II) with elitist strategy is a widely adopted multi-objective algorithm. This case study explains MATLAB's enhanced NSGA-II implementation and demonstrates its practical applications with code examples and algorithmic analysis.