Evolutionary algorithms (EAs) have been widely used to search for optimal strategies for the
planning and management of water resources systems, particularly reservoir operation. This …

This paper investigates the performance of seven stochastic models used to define optimal
reservoir operating policies. The models are based on implicit (ISO) and explicit stochastic …

Abstracts To extract optimal reservoir operation policies, it is important to consider different
objectives simultaneously. In this study, by applying a meta-heuristic, multi-objective …

The direct search approach to determine optimal reservoir operating policies is proposed
with a real coded genetic algorithm (GA) as the optimization method. The parameters of the …

This paper introduces an improved bat algorithm (IBA) with a hybrid mutation strategy to
improve its global search ability. In an effort to guide the evolution and reinforce the …

The objective of this paper is to present an optimal model to address the water resources
utilization of the Tao River basin in China. The Tao River water diversion project has been …

A combined neural network and genetic algorithm (GA) was developed for water quality
management of Feitsui Reservoir in Taiwan. First, an artificial neural network (ANN) model …

A watershed management program is usually based on the results of watershed modeling.
Accurate modeling results are decided by the appropriate parameters and input data …

Predicting air pollution is an important prerequisite for estimating, monitoring and map**
unknown pollution values. We can use fuzzy spatial prediction techniques to determine …

This paper employs non-linear programming, genetic algorithms and fixed-length gene
genetic programming (FLGGP) for the real-time operation of a three-reservoir system …