TY - GEN
T1 - Preliminary analysis of multi-objective genetic algorithm application for multireservoir system
AU - Kim, Taesoon
AU - Heo, Jun Haeng
N1 - Publisher Copyright:
© 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. All Rights Reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - In this study, NSGA-II is applied to multireservoir system optimization, and the appropriate distribution index is suggested. Here, a four dimensional multireservoir system in the Han River basin was formulated. Two objective functions are used to achieve nondominated solutions. NSGA-II effectively determines these solutions without being subject to any user-defined penalty function as it is applied to a multireservoir system, conflicting two multi-objectives. Most research by MOGAs only reveals a trade-off in the objective function space present, and thus the decision-maker must re-analyze this trade-off relationship in order to obtain information on the decision variable. Contrastingly, this study suggests a method for identifying the best solutions among the nondominated ones by analyzing the relation between objective function values and decision variables. Our conclusions demonstrate that NSGA-II performs well in multireservoir system optimization having multi-objectives.
AB - In this study, NSGA-II is applied to multireservoir system optimization, and the appropriate distribution index is suggested. Here, a four dimensional multireservoir system in the Han River basin was formulated. Two objective functions are used to achieve nondominated solutions. NSGA-II effectively determines these solutions without being subject to any user-defined penalty function as it is applied to a multireservoir system, conflicting two multi-objectives. Most research by MOGAs only reveals a trade-off in the objective function space present, and thus the decision-maker must re-analyze this trade-off relationship in order to obtain information on the decision variable. Contrastingly, this study suggests a method for identifying the best solutions among the nondominated ones by analyzing the relation between objective function values and decision variables. Our conclusions demonstrate that NSGA-II performs well in multireservoir system optimization having multi-objectives.
UR - http://www.scopus.com/inward/record.url?scp=85084747500&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084747500&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85084747500
T3 - 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges
SP - 5535
EP - 5543
BT - 31st IAHR Congress 2005
A2 - Byong-Ho, Jun
A2 - Sang, Il Lee
A2 - Won, Seo Il
A2 - Gye-Woon, Choi
PB - Korea Water Resources Association
T2 - 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges
Y2 - 11 September 2005 through 16 September 2005
ER -