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Fundamentals of Optimization → Multi-Objective Optimization in Industrial Engineering
This learning path guides graduate students through the theory and practice of multi-objective optimization. Starting with fundamental concepts in single-objective optimization and linear programming, it progresses to Pareto optimality, classical weighted methods, and advanced metaheuristic approaches, culminating in practical applications and performance evaluation.
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16 learning steps · 4 phases. Click any step to inspect it and see it on the Knowledge Map.