Process / pipelineSimulation / optimization
多目标混合整数规划
多目标混合整数规划（MO-MIP）是一种优化框架，它在满足线性或非线性约束的条件下，同时优化两个或多个相互冲突的目标函数，其中一些决策变量被限制为整数值，而另一些则是连续的。它广泛应用于工程设计、供应链规划、资源分配和调度问题，这些问题需要离散选择与连续数量并存。
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来源
- Ehrgott, M. (2005). Multicriteria Optimization (2nd ed.). Springer, Berlin. ISBN: 9783540213987
- Mavrotas, G. (2009). Effective implementation of the epsilon-constraint method in Multi-Objective Mathematical Programming problems. Applied Mathematics and Computation, 213(2), 455-465. DOI: 10.1016/j.amc.2009.03.037 ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-Objective Mixed-Integer Programming. ScholarGate. https://scholargate.app/zh/simulation/multi-objective-mixed-integer-programming
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