约束规划与数学规划的结合

Jing Gong, Jiaqi Ji
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引用次数: 0

摘要

约束规划(CP)是一门综合了人工智能和计算机编程语言发展起来的计算机科学技术。近年来,将约束规划与数学规划相结合的研究引起了人们的兴趣。本文讨论了应急管理中一类特殊的多目标计划调度问题的CP与数学规划的结合。这些问题涉及三个经典目标:成本、延迟和完工时间。利用经典目标的凸组合确定了多目标函数问题的有效解。该集成算法比其他方法解决的运行时间问题要好几个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of Constraint Programming and mathematical programming
Constraint Programming (CP) developed as a computer science technology which employs developments in artificial intelligence and computer programming languages. Recently, research interest in combining constraint programming with mathematical programming arose. This paper discusses integration of CP and mathematical programming for a particular class of multi-objective planning and scheduling problems arising in emergency management. Three classical objectives involved in the problems: the cost, the tardiness, and the makespan. Efficient solutions for the multiple objective function problem are determined using convex combinations of the classical objectives. The integrated algorithm solved the problems with runtimes several orders of magnitude better than other approaches.
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