English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Performance of heuristic and approximation algorithms for the uncapacitated facility location problem

Hoefer, M.(2002). Performance of heuristic and approximation algorithms for the uncapacitated facility location problem (MPI-I-2002-1-005). Saarbrücken: Max-Planck-Institut für Informatik.

Item is

Files

show Files
hide Files
:
2002-1-005 (Any fulltext), 10KB
Name:
2002-1-005
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
text/html / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Hoefer, Martin1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

Content

show
hide
Free keywords: -
 Abstract: The uncapacitated facility location problem (UFLP) is a problem that has been studied intensively in operational research. Recently a variety of new deterministic and heuristic approximation algorithms have evolved. In this paper, we compare five new approaches to this problem - the JMS- and the MYZ-approximation algorithms, a version of local search, a Tabu Search algorithm as well as a version of the Volume algorithm with randomized rounding. We compare solution quality and running times on different standard benchmark instances. With these instances and additional material a web page was set up, where the material used in this study is accessible.

Details

show
hide
Language(s): eng - English
 Dates: 2002
 Publication Status: Issued
 Pages: 27 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2002-1-005
Report Nr.: MPI-I-2002-1-005
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Research Report / Max-Planck-Institut für Informatik
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -