Solving fixed-charge network flow problems with a hybrid optimization and constraint programming approach

Hak Jin Kim, John N. Hooker

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

We apply to fixed charge network flow (FCNF) problems a general hybrid solution method that combines constraint programming and linear programming. FCNF problems test the hybrid approach on problems that are already rather well suited for a classical 0-1 model. They are solved by means of a global constraint that generates specialized constraint propagation algorithms and a projected relaxation that can be rapidly solved as a minimum cost network flow problem. The hybrid approach ran about twice as fast as a commercial mixed integer programming code on fixed charge transportation problems with its advantage increasing with problem size. For general fixed charge transshipment problems, however, it has no effect because the implemented propagation methods are weak.

Original languageEnglish
Pages (from-to)95-124
Number of pages30
JournalAnnals of Operations Research
Volume115
Issue number1-4
DOIs
Publication statusPublished - 2002 Dec 1

Fingerprint

Constraint programming
Network flow
Fixed charge
Propagation
Hybrid approach
Transshipment
Linear programming
Costs
Mixed integer programming
Transportation problem

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Management Science and Operations Research

Cite this

@article{cb61052f60524eec8fbfc8a6bad1940e,
title = "Solving fixed-charge network flow problems with a hybrid optimization and constraint programming approach",
abstract = "We apply to fixed charge network flow (FCNF) problems a general hybrid solution method that combines constraint programming and linear programming. FCNF problems test the hybrid approach on problems that are already rather well suited for a classical 0-1 model. They are solved by means of a global constraint that generates specialized constraint propagation algorithms and a projected relaxation that can be rapidly solved as a minimum cost network flow problem. The hybrid approach ran about twice as fast as a commercial mixed integer programming code on fixed charge transportation problems with its advantage increasing with problem size. For general fixed charge transshipment problems, however, it has no effect because the implemented propagation methods are weak.",
author = "Kim, {Hak Jin} and Hooker, {John N.}",
year = "2002",
month = "12",
day = "1",
doi = "10.1023/A:1021145103592",
language = "English",
volume = "115",
pages = "95--124",
journal = "Annals of Operations Research",
issn = "0254-5330",
publisher = "Springer Netherlands",
number = "1-4",

}

Solving fixed-charge network flow problems with a hybrid optimization and constraint programming approach. / Kim, Hak Jin; Hooker, John N.

In: Annals of Operations Research, Vol. 115, No. 1-4, 01.12.2002, p. 95-124.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Solving fixed-charge network flow problems with a hybrid optimization and constraint programming approach

AU - Kim, Hak Jin

AU - Hooker, John N.

PY - 2002/12/1

Y1 - 2002/12/1

N2 - We apply to fixed charge network flow (FCNF) problems a general hybrid solution method that combines constraint programming and linear programming. FCNF problems test the hybrid approach on problems that are already rather well suited for a classical 0-1 model. They are solved by means of a global constraint that generates specialized constraint propagation algorithms and a projected relaxation that can be rapidly solved as a minimum cost network flow problem. The hybrid approach ran about twice as fast as a commercial mixed integer programming code on fixed charge transportation problems with its advantage increasing with problem size. For general fixed charge transshipment problems, however, it has no effect because the implemented propagation methods are weak.

AB - We apply to fixed charge network flow (FCNF) problems a general hybrid solution method that combines constraint programming and linear programming. FCNF problems test the hybrid approach on problems that are already rather well suited for a classical 0-1 model. They are solved by means of a global constraint that generates specialized constraint propagation algorithms and a projected relaxation that can be rapidly solved as a minimum cost network flow problem. The hybrid approach ran about twice as fast as a commercial mixed integer programming code on fixed charge transportation problems with its advantage increasing with problem size. For general fixed charge transshipment problems, however, it has no effect because the implemented propagation methods are weak.

UR - http://www.scopus.com/inward/record.url?scp=0036439218&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036439218&partnerID=8YFLogxK

U2 - 10.1023/A:1021145103592

DO - 10.1023/A:1021145103592

M3 - Article

VL - 115

SP - 95

EP - 124

JO - Annals of Operations Research

JF - Annals of Operations Research

SN - 0254-5330

IS - 1-4

ER -