The submodularity of two-stage stochastic maximum-weight independent set problems

被引:0
|
作者
Li, Min [1 ]
Xiao, Hao [1 ]
Liu, Qian [1 ]
Zhou, Yang [1 ]
机构
[1] Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
基金
美国国家科学基金会;
关键词
Submodularity; Two -stage stochastic programming; Matroid; Knapsack; FUNCTION MAXIMIZATION; OPTIMIZATION;
D O I
10.1016/j.tcs.2022.09.029
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we extend the maximal independent set problem to two-stage stochastic case: given an independence system associated with one deterministic weight function and a random weight function, the goal is to find two nonoverlapping independent subsets from these two stages with the maximum total weight. In this paper, we study the sub -modularity of three kinds of two-stage independent set problems with max-weight. When the independent set problem is a matroid constraint, we can show its submodularity. How-ever, neither submodular nor supermodular maximization problem can be obtained for the knapsack independent set problem by designing a counterexample. At last, we show that the robust two-stage stochastic maximum-weight uniform matroid problem can be formu-lated as a gamma-submodular problem with cardinality constraint and also give a lower bound for gamma.(c) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页码:50 / 62
页数:13
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