Multireservoir system optimization using multi-objective genetic algorithms

Taesoon Kim; Jun Haeng Heo

Multireservoir system optimization using multi-objective genetic algorithms

Taesoon Kim, Jun Haeng Heo

Department of Civil and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

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

All Science Journal Classification (ASJC) codes

Engineering(all)

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Kim, T., & Heo, J. H. (2004). Multireservoir system optimization using multi-objective genetic algorithms. In G. Sehlke, D. F. Hayes, & D. K. Stevens (Eds.), Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management (pp. 1900-1909). (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).

Kim, Taesoon ; Heo, Jun Haeng. / Multireservoir system optimization using multi-objective genetic algorithms. Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. editor / G. Sehlke ; D.F. Hayes ; D.K. Stevens. 2004. pp. 1900-1909 (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).

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title = "Multireservoir system optimization using multi-objective genetic algorithms",

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.",

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Kim, T & Heo, JH 2004, Multireservoir system optimization using multi-objective genetic algorithms. in G Sehlke, DF Hayes & DK Stevens (eds), Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management, pp. 1900-1909, 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management, Salt Lake City, UT, United States, 04/6/27.

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

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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.

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Kim T, Heo JH. Multireservoir system optimization using multi-objective genetic algorithms. In Sehlke G, Hayes DF, Stevens DK, editors, Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. 2004. p. 1900-1909. (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).