Kuo Wei WangLi-Chiu ChangFI-JOHN CHANG2025-11-192025-11-192011-0104921505https://scholars.lib.ntu.edu.tw/handle/123456789/733781The Jhuoshuei River is the longest river in Taiwan with abundant water resources; the population growth and the dramatic economic development have resulted in a tremendous demand for water resources. How to effectively manage the water resources is one of the most important tasks for hydrologists. This paper presents a non-dominated sorting genetic algorithm (NSGA-II) to derive a set of optimal joint operating rule curves for a two-reservoir system, Wu-She Reservoir and Jih-Yueh-Tan Reservoir, in the Jhuoshuei River system. These two series reservoirs are the main reservoirs for water supply and hydroelectric power generation. The NSGA-II is coupled with an operational simulation model to search the optimal joint rule curve for minimizing shortage indices (SI) and maximizing hydroelectric power generation. The Pareto-front solutions obtained from NSGA-II provide the decision makers with a wide range of choices. The results indicate that NSGA-II is a promising approach. The plentiful optimal solutions along the Pareto front allow the decision makers to choose the best compromise solution when considering the trade-offs between water supply and hydroelectric power generation. The operating rule obtained by NSGA-II can not only meet the water demands in the downstream area but also satisfy the reservoir electricity generation and achieve the goal of effective utilization of water resources.enjournal article2-s2.0-84860357750