Process / pipelineSimulation / optimization
鲁棒目标规划——在不确定性下实现多个目标
鲁棒目标规划（RGP）扩展了经典目标规划以处理不确定或模糊的模型参数。它不以最小化与确定性目标的偏差为目标，而是寻求在各种合理场景或不确定数据实现下仍然可行且接近最优的解。RGP在目标是期望性且输入数据具有固有变异性或估计误差的规划问题中尤为有价值。
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来源
- Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471155041
- Mulvey, J. M., Vanderbei, R. J., Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations Research, 43(2), 264-281. DOI: 10.1287/opre.43.2.264 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Goal Programming. ScholarGate. https://scholargate.app/zh/simulation/robust-goal-programming
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