Multi-Objektiv Simuleret Gløding (MOSA)
Multi-Objective Simulated Annealing (MOSA) udvider den klassiske metaheuristik simulated annealing til problemer med to eller flere modstridende objektivfunktioner. I stedet for at konvergere mod et enkelt optimum, udforsker MOSA løsningsrummet stokastisk og vedligeholder et arkiv af ikke-dominerede (Pareto-optimale) løsninger, hvilket giver beslutningstagere en mangfoldig afvejningsfront snarere end ét foreskrevet svar.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Czyzak, P., Jaszkiewicz, A. (1998). Pareto simulated annealing — a metaheuristic technique for multiple-objective combinatorial optimization. Journal of Multi-Criteria Decision Analysis, 7(1), 34–47. DOI: 10.1007/978-3-642-59132-7_33 ↗
- Serafini, P. (1992). Simulated annealing for multi-objective optimization problems. In Proceedings of the Tenth International Conference on Multiple Criteria Decision Making, Taipei, Taiwan, pp. 87–96. link ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Multi-Objective Simulated Annealing. ScholarGate. https://scholargate.app/da/simulation/multi-objective-simulated-annealing
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Multi-objektiv genetisk algoritme (MOGA)Simulering↔ compare
- Multi-Objective OptimizationSimulering↔ compare
- Multi-Objective Particle Swarm Optimization (MOPSO)Simulering↔ compare
- Multi-objective Tabu Search (MOTS)Simulering↔ compare
- Simulated AnnealingOptimering↔ compare
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