Optimizing the operation of reservoir involving ecological and environmental (eco-environmental) objectives is challenging due to the often competing social-economic objectives. Non-dominated Sorting Genetic Algorithm-II is a popular method for solving multi-objective optimization problems. However, within a complex search space, the NSGA-II population (i.e., a group of candidate solutions) may...

r a 200 .021 : +886 2 ail.tku.e Summary Real-time flood control of a multi-purpose reservoir should consider decreasing the flood peak stage downstream and storing floodwaters for future usage during typhoon seasons. This study proposes a reservoir flood control optimization model with linguistic description of requirements and existing regulations for rational operating decisions. The approach...

Multi-objective evolutionary algorithms (MOEAs) are widely used to optimize multi-purpose reservoir operations. Considering that most outcomes of MOEAs Pareto optimal sets with a large number incomparable solutions, it is not trivial task for decision-makers (DMs) select compromise solution application purposes. Due the increasing popularity data-driven decision-making, we introduce clustering-...

Abstract. Streamflow forecasts are traditionally effective in mitigating water scarcity and flood defense. This study developed an artificial intelligence (AI)-based management methodology that integrated multi-step streamflow multi-objective reservoir operation optimization for resource allocation. Following the methodology, we aimed to assess forecast quality forecast-informed performance tog...

Optimal operation of reservoir has been an active area of research for many years. Various techniques have been developed and adopted for reservoir operation incorporating the uncertainty due to stochastic nature of inflows and demands. However there is not much literature reported on models incorporating uncertainty caused due to imprecise goals and objectives. In the present paper a fuzzy opt...

this article aims at designing the mathematical model for aras dam reservoir in time operation with missions of agriculture needs safeguarding, water electric energy production and torrent controls. reservoir system relations determinate and these relations at framework of are determined and stochastic dynamic programming are calculated executive results of this model are presentation of guides...

The purpose of this study is to develop a new enhanced IDP (Incremental Dynamic Programming) model which is suitable for analysis of operation policies of multipurpose and multi-unit water resources system. The proposed new IDP approach deals with the optimization of trajectories is applied to a four reservoir system in the Nakdong River. The results of optimization in system operation show sig...