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

Fingerprint

Traffic congestion
Gas emissions
Greenhouse gases
Tabu search
Costs

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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

Harmony search algorithm for high-demand facility locations considering traffic congestion and greenhouse gas emission. / Oh, Yoonseok; Park, Umji; Kang, Seungmo.

Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. p. 317-327 (Advances in Intelligent Systems and Computing; Vol. 382).

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

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, Advances in Intelligent Systems and Computing, vol. 382, Springer Verlag, pp. 317-327, 2nd International Conference on Harmony Search Algorithm, ICHSA 2015, Seoul, Korea, Republic of, 15/8/19. https://doi.org/10.1007/978-3-662-47926-1_31
Oh Y, Park U, Kang S. Harmony search algorithm for high-demand facility locations considering traffic congestion and greenhouse gas emission. In Advances in Intelligent Systems and Computing. Vol. 382. Springer Verlag. 2016. p. 317-327. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-662-47926-1_31
Oh, Yoonseok ; Park, Umji ; Kang, Seungmo. / Harmony search algorithm for high-demand facility locations considering traffic congestion and greenhouse gas emission. Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. pp. 317-327 (Advances in Intelligent Systems and Computing).
@inproceedings{683400fffe5b4ab0900ec54ad6adeb4b,
title = "Harmony search algorithm for high-demand facility locations considering traffic congestion and greenhouse gas emission",
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.",
keywords = "Facility location problem, Greenhouse gas emission, Harmony search algorithm, Traffic congestion",
author = "Yoonseok Oh and Umji Park and Seungmo Kang",
year = "2016",
doi = "10.1007/978-3-662-47926-1_31",
language = "English",
isbn = "9783662479254",
volume = "382",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "317--327",
booktitle = "Advances in Intelligent Systems and Computing",

}

TY - GEN

T1 - Harmony search algorithm for high-demand facility locations considering traffic congestion and greenhouse gas emission

AU - Oh, Yoonseok

AU - Park, Umji

AU - Kang, Seungmo

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Facility location problem

KW - Greenhouse gas emission

KW - Harmony search algorithm

KW - Traffic congestion

UR - http://www.scopus.com/inward/record.url?scp=84946780847&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946780847&partnerID=8YFLogxK

U2 - 10.1007/978-3-662-47926-1_31

DO - 10.1007/978-3-662-47926-1_31

M3 - Conference contribution

SN - 9783662479254

VL - 382

T3 - Advances in Intelligent Systems and Computing

SP - 317

EP - 327

BT - Advances in Intelligent Systems and Computing

PB - Springer Verlag

ER -