A HEURISTIC MODEL OF PARTIAL INTERDICTION MEDIAN PROBLEM FOR MULTI-SOURCING SUPPLY SYSTEMS

被引：0

作者：

Zhang, Shaohui ^{[1
]}

Zheng, Zheng ^{[1
,2
]}

Zhang, Xiaoyi ^{[1
]}

Zhu, Yueni ^{[1
]}

机构：

[1] Beihang Univ Beijing, Sch Automat Sci & Elect Engn, Beijing, Peoples R China

[2] Key Lab Sci & Technol Natl Def Beijing, Beijing, Peoples R China

来源：

DECISION MAKING AND SOFT COMPUTING | 2014年 / 9卷

关键词：

partial interdiction; heuristic strategies; multi-sourcing supply systems; MIXED-INTEGER PROGRAM; CRITICAL INFRASTRUCTURE; CAPACITATED FACILITIES; DISRUPTIONS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper discusses the partial r-interdiction median problem for multi-sourcing supply systems (PRIM-MS). Compared with r-interdiction median problem (RIM), PRIM-MS mainly has three characteristics: (1) Limited capacity for each facility; (2) Partial interdiction; (3) Multi-sourcing property for supply systems. PRIM-MS falls into bilevel programming in the form of leader-follower decisions, where the attacker tries to degrade system performance the most by determining offensive resources invested while the user rebuilds supply-demand relationship to reduce the influences by interdiction. In this paper, we model the problem as a single level heuristic model based on two heuristic strategies. Experiments are carried out to testify the effectiveness of the heuristic model.

引用

页码：625 / 630

页数：6

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