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Multi-objective simulated annealing/Evidence
Method evidence record

Multi-objective simulated annealing

Multi-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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Multi-Objective Simulated Annealing
Taxonomic method record · process-pipeline / simulation
  • 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. · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketMulti-objective genetic algorithmmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-Objective Optimizationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-objective particle swarm optimizationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-objective Tabu Searchmachine-suggested · Relational suggestion, not evidence.Same method familySimulated Annealingmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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