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Multi-Objective Simulated Annealing (MOSA)×Búsqueda Tabú Multiobjetivo (MOTS)×
CampoSimulaciónSimulación
FamiliaProcess / pipelineProcess / pipeline
Año de origen1992–19981997
Autor originalSerafini, P.; Czyzak, P. and Jaszkiewicz, A.Hansen, M. P.; building on Glover (1989) Tabu Search
TipoMetaheuristic / Pareto-based optimizerMetaheuristic multi-objective optimization
Fuente seminalCzyzak, 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 ↗Hansen, M. P. (1997). Tabu search for multiobjective optimization: MOTS. Presented at the 13th International Conference on Multiple Criteria Decision Making (MCDM), Cape Town, South Africa. link ↗
AliasMOSA, Multi-Criteria Simulated Annealing, Pareto Simulated Annealing, PSAMOTS, Multi-criteria Tabu Search, Pareto Tabu Search, TSMOO
Relacionados55
ResumenMulti-Objective Simulated Annealing (MOSA) extends the classical simulated annealing metaheuristic to problems with two or more conflicting objective functions. Instead of converging to a single optimum, MOSA explores the solution space stochastically and maintains an archive of non-dominated (Pareto-optimal) solutions, offering decision-makers a diverse trade-off front rather than one prescribed answer.Multi-objective Tabu Search (MOTS) is a metaheuristic algorithm that extends the classic Tabu Search framework to simultaneously optimize two or more conflicting objective functions. Instead of a single optimum, it seeks to approximate the Pareto front — the set of solutions where no objective can be improved without worsening another — making it suitable for complex combinatorial and continuous optimization problems in engineering, logistics, and operations research.
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ScholarGateComparar métodos: Multi-objective simulated annealing · Multi-objective Tabu Search. Recuperado el 2026-06-18 de https://scholargate.app/es/compare