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The lecturer explicitly names simulated annealing, tabu search, and genetic algorithms as examples of heuristic methods that may be used to search for good solutions in multi-objective optimization.

Conditions: These are presented as example methods, not as a complete taxonomy.; The clip does not define how each heuristic works internally.

The lecturer explicitly names simulated annealing, tabu search, and genetic algorithms as examples of heuristic methods that may be used to search for good solutions in multi-objective optimization.

Conditions: These are presented as example methods, not as a complete taxonomy.; The clip does not define how each heuristic works internally.