本德分解
解算器
实施
分解
数学优化
整数规划
计算机科学
随机规划
变量(数学)
变化(天文学)
运筹学
算法
数学
程序设计语言
生态学
数学分析
物理
天体物理学
生物
出处
期刊:Synthesis lectures on operations research and applications
[Morgan & Claypool]
日期:2023-11-18
卷期号:: 61-79
标识
DOI:10.1007/978-3-031-45039-6_4
摘要
This chapter presents several variations and special cases of logic-based Benders decomposition (LBBD). The most important variation is branch and check, which solves the master problem only once. Other variations include enumerative methods, multilevel decomposition, and dynamic variable partitioning. Special cases include stochastic and robust LBBD and combinatorial Benders cuts for mixed integer programming. The chapter shows how a subproblem relaxation can be included in the master problem, often an essential part of successful implementations. It concludes with a discussion of automating LBBD in an off-the-shelf solver, and the pros and cons of doing so.
科研通智能强力驱动
Strongly Powered by AbleSci AI