Process / pipelineSimulation / optimization
多目标模拟退火 (MOSA)
多目标模拟退火 (MOSA) 将经典的模拟退火元启发式方法扩展到具有两个或多个相互冲突的目标函数的问题上。MOSA 不会收敛到单一的最优解，而是通过随机探索解空间，并维护一个非支配（帕累托最优）解的存档，从而为决策者提供一个多样化的权衡前沿，而不是一个预设的答案。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- 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 ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-Objective Simulated Annealing. ScholarGate. https://scholargate.app/zh/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.
- 多目标遗传算法 (MOGA)仿真↔ compare
- 多目标优化仿真↔ compare
- 多目标粒子群优化 (MOPSO)仿真↔ compare
- 多目标禁忌搜索 (MOTS)仿真↔ compare
- 模拟退火优化↔ compare