• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Infrastructure Systems >Contingency Planning in Project Selection Using Multiobjective Optimization and Chance Constraints
【24h】

Contingency Planning in Project Selection Using Multiobjective Optimization and Chance Constraints

机译：多目标优化和机会约束的项目选择应急计划

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We present a multiobjective optimization model for determining an efficient budget allocation for a portfolio of infrastructure projects. The model takes into account both the cost and the priority rank of each project while considering probabilistic constraints related to the available budget. A zero-one multiobjective optimization problem with chance constraints is developed and solved. This approach helps to more accurately take into account competing objectives such as cost and value of the funded projects, as well as budget risk to find a Pareto optimal set of project selection alternatives. We present numerical results based on infrastructure projects from a United States governmental agency in which we analyze the Pareto optimal set of solutions for this problem and test the working of the model with several cases that highlight budget contingencies needed in the face of random project costs.
机译：我们提出了一种多目标优化模型，用于确定基础设施项目组合的有效预算分配。该模型在考虑与可用预算相关的概率约束的同时，考虑了每个项目的成本和优先级。提出并解决了带有机会约束的零一多目标优化问题。这种方法有助于更准确地考虑竞争目标，例如受资助项目的成本和价值以及预算风险，以找到帕累托最优的项目选择方案集。我们根据来自美国政府机构的基础设施项目提供了数值结果，我们在其中分析了帕累托针对该问题的最佳解决方案集，并在几种情况下测试了模型的工作，这些情况突出了面对随机项目成本所需要的预算紧急情况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号