Abstract
The application of multi-objective genetic algorithms (MOGA) to optimize system of the Han River basin in South Korea was discussed. The solutions of the MOGA yielded a trade-off curve or surface, identifying a population of points that define optimal solutions to the problem. It was found that non-dominating sorting approach was used to get the non-dominated fronts and maintaining a diverse set of solutions in the non-dominated fronts was achieved by sharing. The results show that MOGA has been an effective solution technique for solving multireservoir system optimization.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2004 World Water and Environmetal Resources Congress |
| Subtitle of host publication | Critical Transitions in Water and Environmental Resources Management |
| Editors | G. Sehlke, D.F. Hayes, D.K. Stevens |
| Pages | 1900-1909 |
| Number of pages | 10 |
| Publication status | Published - 2004 Dec 1 |
| Event | 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management - Salt Lake City, UT, United States Duration: 2004 Jun 27 → 2004 Jul 1 |
Publication series
| Name | Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management |
|---|
Other
| Other | 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management |
|---|---|
| Country | United States |
| City | Salt Lake City, UT |
| Period | 04/6/27 → 04/7/1 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Multireservoir system optimization using multi-objective genetic algorithms. / Kim, Taesoon; Heo, Jun-Haeng.
Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. ed. / G. Sehlke; D.F. Hayes; D.K. Stevens. 2004. p. 1900-1909 (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Multireservoir system optimization using multi-objective genetic algorithms
AU - Kim, Taesoon
AU - Heo, Jun-Haeng
PY - 2004/12/1
Y1 - 2004/12/1
N2 - The application of multi-objective genetic algorithms (MOGA) to optimize system of the Han River basin in South Korea was discussed. The solutions of the MOGA yielded a trade-off curve or surface, identifying a population of points that define optimal solutions to the problem. It was found that non-dominating sorting approach was used to get the non-dominated fronts and maintaining a diverse set of solutions in the non-dominated fronts was achieved by sharing. The results show that MOGA has been an effective solution technique for solving multireservoir system optimization.
AB - The application of multi-objective genetic algorithms (MOGA) to optimize system of the Han River basin in South Korea was discussed. The solutions of the MOGA yielded a trade-off curve or surface, identifying a population of points that define optimal solutions to the problem. It was found that non-dominating sorting approach was used to get the non-dominated fronts and maintaining a diverse set of solutions in the non-dominated fronts was achieved by sharing. The results show that MOGA has been an effective solution technique for solving multireservoir system optimization.
UR - http://www.scopus.com/inward/record.url?scp=23844513514&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=23844513514&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0784407371
T3 - Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management
SP - 1900
EP - 1909
BT - Proceedings of the 2004 World Water and Environmetal Resources Congress
A2 - Sehlke, G.
A2 - Hayes, D.F.
A2 - Stevens, D.K.
ER -