Process / pipelineMetaheuristics
模拟启发式算法：结合仿真与元启发式算法求解随机优化问题
模拟启发式算法（Simheuristics）是一种混合算法框架，它将蒙特卡洛或离散事件仿真集成到元启发式搜索过程中，以解决随机组合优化问题。该方法由Juan等人于2015年提出，适用于目标函数评估涉及随机变量的场景，并能提供具有概率质量保证的近似最优解。该方法特别适用于现实世界中固有的不确定性导致经典确定性求解器失效的物流、运输和调度问题。
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来源
- Juan, A. A., et al. (2015). A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems. Operations Research Perspectives, 2, 62–72. DOI: 10.1016/j.orp.2015.03.001 ↗
如何引用本页
ScholarGate. (2026, June 2). Simheuristics (Simulation + Metaheuristics). ScholarGate. https://scholargate.app/zh/optimization/simheuristics
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