Algorithms for a multi-level network optimization problem

被引:13
作者
Cruz, FRB [1 ]
Smith, JM
Mateus, GR
机构
[1] Univ Fed Minas Gerais, Dept Estatistica, BR-31270901 Belo Horizonte, MG, Brazil
[2] Univ Massachusetts, Dept Mech & Ind Engn, Amherst, MA 01003 USA
[3] Univ Fed Minas Gerais, Dept Ciencia Computacao, BR-31270901 Belo Horizonte, MG, Brazil
关键词
branch-and-bound; network programming; location; topological network design; network flows;
D O I
10.1016/S0377-2217(98)00306-3
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper we work on a multi-level network optimization problem that integrates into the same model important aspects of: (i) discrete facility location, (ii) topological network design, and (iii) network dimensioning. Potential applications for the model are discussed, stressing its growing importance. The multi-level network optimization problem treated is defined and a mathematical programming formulation is presented. We make use of a branch-and-bound algorithm based on Lagrangean relaxation lower bounds to introduce some new powerful auxiliary algorithms to exactly solve the problem. We conduct a set of computational experiments that indicate the quality of the proposed approach. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:164 / 180
页数:17
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