MULTI-OBJECTIVE GENETIC ALGORITHM APPLICATION FOR MULTIRESERVOIR SYSTEM IN THE HAN RIVER BASIN

摘要

This study proposes the methodology for applying multi-objective genetic algorithms (MOGAs) to multireservoir system optimization in the Han River basin of South Korea. The four dimensional model is formulated using NSGA-II. The real coding scheme is used to handle the wide range of decision variables. Population size is determined using the criterion with regard to the constraint violation value. The results show that the tradeoff curve can be used by a decision maker to obtain an appropriate solution considering the conflicting objectives which are maximizing storages and minimizing water shortages.