Optimization Techniques: Local Search, VNS, Simulated Annealing

This lecture covers optimization techniques such as local search, variable neighborhood search (VNS), and simulated annealing. It explains concepts like 2-OPT neighborhood, lexicographic rules, dominance, and weighted sum. The instructor demonstrates how to transform multi-objective optimization problems into single-objective ones and discusses heuristics for optimization. Practical examples and algorithms are provided to illustrate the application of these techniques.