Budget constrained flow interception location model for congested systems

被引：0

作者：

Hu Dandan ^{[1
]}

Yang Chao ^{[1
]}

Yang Jun ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Dept Management Sci & Engn, Wuhan 430074, Peoples R China

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2009年 / 20卷 / 06期

基金：

中国国家自然科学基金;

关键词：

location; flow interception; bi-objective; heuristic; DISCRETIONARY SERVICE FACILITIES; MAXIMIZING MARKET-SIZE; GENETIC ALGORITHM; DEMAND;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To study location problems with congestion demand, a bi-objective model based on flow interception problem is proposed. The model is formulated from the view of M/M/m queuing systems. Service quantity and quality are simultaneously considered as objectives, with constraint on total cost. Service quality includes deviation distance from preplanned trips and customers' waiting time. Service quantity is the number of interception customers. A multi-objective evolutionary algorithm combined with greedy heuristic is proposed. Finally a computational experiment is given, and the algorithm is proved to be efficient.

引用

页码：1255 / 1262

页数：8

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