Inexact de Novo programming for water resources systems planning
Inexact de Novo programming for water resources systems planning
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DOI：
10.1016/j.ejor.2008.11.019
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
Yan Zhang;Guo H. Huang;Guo H. Huang;Xiaodong Zhang
中科院分区：
文献类型：
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作者：
Yan Zhang;Guo H. Huang;Guo H. Huang;Xiaodong Zhang
本文提出了一种区间从头规划（IDNP）方法，用于不确定条件下的水资源管理系统优化设计。该模型是通过将现有的区间规划和de Novo规划，允许不确定性表示为优化框架内的区间。所开发的IDNP方法的优点是通过在系统约束中引入对可用资源的灵活性，通过理想系统构造最优系统设计。一个简单的数值例子来说明IDNP方法。在水资源规划的案例中，IDNP被用来设计一个有预算限制的不精确的最优系统，而不是在一个给定的系统中寻找最优值。结果表明，所开发的方法有效地产生稳定的解决方案，在不同的目标。在给定的预算下，考虑了工农业竞争的不同收益目标，得到了优质水的最优供给。
This study presents an interval de Novo programming (IDNP) approach for the design of optimal water-resources-management systems under uncertainty. The model is derived by incorporating the existing interval programming and de Novo programming, allowing uncertainties represented as intervals within the optimization framework. The developed IDNP approach has the advantages in constructing optimal system design via an ideal system by introducing the flexibility toward the available resources in the system constraints. A simple numerical example is introduced to illustrate the IDNP approach. The IDNP is then applied to design an inexact optimal system with budget limit instead of finding the optimum in a given system with fixed resources in a water resources planning case. The results demonstrate that the developed method efficiently produces stable solutions under different objectives. Optimal supplies of good-quality water are obtained in considering different revenue targets of municipal–industrial–agricultural competition under a given budget.