@inproceedings{ef10bc66287e48679efb8e6c712bb390,
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.",
author = "Taesoon Kim and Heo, {Jun Haeng}",
year = "2004",
language = "English",
isbn = "0784407371",
series = "Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management",
pages = "1900--1909",
editor = "G. Sehlke and D.F. Hayes and D.K. Stevens",
booktitle = "Proceedings of the 2004 World Water and Environmetal Resources Congress",
note = "2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management ; Conference date: 27-06-2004 Through 01-07-2004",
}