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 language | English |
|---|---|
| Title of host publication | Advances in Intelligent Systems and Computing |
| Publisher | Springer Verlag |
| Pages | 317-327 |
| Number of pages | 11 |
| Volume | 382 |
| ISBN (Print) | 9783662479254 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of Duration: 2015 Aug 19 → 2015 Aug 21 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 382 |
| ISSN (Print) | 21945357 |
Other
| Other | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 15/8/19 → 15/8/21 |
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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
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 proceeding › Conference contribution
}
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
AN - SCOPUS:84946780847
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 -