Gravity-based heuristic for set covering problems and its application in fault diagnosis

被引:4
|
作者
Li, Yun [1 ,2 ]
Cai, Zhiming [1 ]
机构
[1] Naval Univ Engn, Wuhan 430033, Peoples R China
[2] Troops 54645 PLA, Zhanjiang 524022, Peoples R China
基金
中国国家自然科学基金;
关键词
set covering problem (SCP); gravity force; binary search space; fault diagnosis; GENETIC ALGORITHM; SEARCH ALGORITHM;
D O I
10.1109/JSEE.2012.00049
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel algorithm named randomized binary gravitational search (RBGS) algorithm is proposed for the set covering problem (SCP). It differs from previous SCP approaches because it does not work directly on the SCP matrix. In the proposed algorithm, the solution of SCP is viewed as multi-dimension position of objects in the binary search space. All objects in the space attract each other by the gravity force, and this force causes a global movement of all objects towards the objects with heavier masses which correspond to good solutions. Computation results show that the proposed algorithm is very competitive. In addition, the proposed algorithm is extended for SCP to solve the fault diagnosis problem in graph-based systems.
引用
收藏
页码:391 / 398
页数:8
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