Skip to main navigation Skip to search Skip to main content

Solving competitive facilities location problem with the clonal selection algorithm

  • School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Competitive facility location (CFL) problem has been proved to be NP-hard. Most location-allocation solution methods rely on heuristic approaches, however, they do not guarantee a global optimal solution. This paper proposes an improved clonal selection algorithm, which is an important theory in artificial immune systems (AIS), and we apply it to the CFL task. A Special string is used as the shape-space in immune cell pattern. In addition, we propose an n-hold method to improve the performance of AIS, which can increase the stability and robustness of the clonal selection algorithm. Meanwhile, a special version of the roulette wheel method is proposed to improve the algorithm performance. And we give the evolutionary explain of AIS. Experiments show that the proposed algorithm is effective and efficient to the CFL task.

Original languageEnglish
Title of host publicationProceedings of 2006 International Conference on Management Science and Engineering, ICMSE'06 (13th)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages413-417
Number of pages5
ISBN (Print)7560323553, 9787560323558
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 International Conference on Management Science and Engineering, ICMSE'06 - Lille, France
Duration: 5 Oct 20067 Oct 2006

Publication series

NameProceedings of 2006 International Conference on Management Science and Engineering, ICMSE'06 (13th)

Conference

Conference2006 International Conference on Management Science and Engineering, ICMSE'06
Country/TerritoryFrance
CityLille
Period5/10/067/10/06

Keywords

  • Artificial immune system (AIS)
  • Clonal selection
  • Competitive facilities location

Fingerprint

Dive into the research topics of 'Solving competitive facilities location problem with the clonal selection algorithm'. Together they form a unique fingerprint.

Cite this