Harmony search algorithm for high-demand facility locations considering traffic congestion and greenhouse gas emission

Yoonseok Oh, Umji Park, Seungmo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large facilities in urban areas generate lots of traffic and cause congestion that waste social time and become a major source of greenhouse gas (GHG). To overcome a shortcoming of the fixed transportation cost in conventional facility models, the congestion effect by facility users as well as general drivers in networks, with increased GHG emission is considered. In this paper, several Harmony Search algorithms with local search are developed and compared to the existing Tabu Search algorithm in a variety of networks. The results demonstrate that the proposed approach and local search method can find better or comparable solution than other methods within a given time.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages317-327
Number of pages11
Volume382
ISBN (Print)9783662479254
DOIs
Publication statusPublished - 2016
Event2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of
Duration: 2015 Aug 192015 Aug 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume382
ISSN (Print)21945357

Other

Other2nd International Conference on Harmony Search Algorithm, ICHSA 2015
CountryKorea, Republic of
CitySeoul
Period15/8/1915/8/21

Keywords

  • Facility location problem
  • Greenhouse gas emission
  • Harmony search algorithm
  • Traffic congestion

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Oh, Y., Park, U., & Kang, S. (2016). Harmony search algorithm for high-demand facility locations considering traffic congestion and greenhouse gas emission. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 317-327). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_31