个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:计算机科学与技术学院
办公地点:大连理工大学创新园大厦8-A0824
联系方式:18641168567
电子邮箱:gztan@dlut.edu.cn
Solving the Time Dependent Chinese Postman Problem by Branch-and-Bound Algorithm
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论文类型:期刊论文
发表时间:2012-12-01
发表刊物:INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL
收录刊物:SCIE、Scopus
卷号:15
期号:12A,SI
页面范围:5263-5270
ISSN号:1343-4500
关键字:Time Dependent; Chinese Postman Problem; Branch-and-Bound
摘要:The Chinese Postman Problem (CPP) is one of the classical problems in graph theory and is applicable in a wide range of fields. With the rapid development of hybrid systems and model based testing, CPP defined on the time dependent network becomes more realistic than the classical problems. This paper proposes the Time Dependent Chinese Postman Problem (TDCPP) theoretically based on the two classical algorithmic approaches for solving the traditional problems in the literature, namely, two-stage strategy and arc routing transformation, which can respectively solve the conventional and timing-sensitive CPPs. This paper proves that these two algorithms are not available for time dependent networks. On the positive side, we propose a branch-and-bound algorithm for the problem with the First-In-First-Out property. Experimental results show that the dominance relation in the branch-and-bound algorithm is more efficient when the network is not Euclidian, and that small to medium-sized instances can be solved to proven optimality.