Optimization-Simulation with Sediment Evacuation (ROSSE) model is a recently developed tool which internalizes sediment evacuation … routines and the simulation module in a newly developed GA-based optimization module. This article applies the ROSSE model with … and availability of economic and hydro based objective functions in the optimization model will help achieving the goal of …

Application of optimization techniques for determining the optimal operating policy of reservoirs is a major issue in … water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become … algorithm in optimization of multi-reservoirs. A computer code has been constructed for this purpose and verified by means of a …

Combined simulation-optimization models have been widely used to address the management of water resources issues. This … paper presents a simulation-optimization model for conjunctive use of surface water and groundwater at a basin-wide scale … basin and irrigation system level. The conjunctive use model that coupled numerical simulation with nonlinear optimization …

regulation. This paper focuses on the simulation-optimization for conjunctive use of surface water and groundwater on a basin … surface water and groundwater interaction while a genetic algorithm is developed as the optimization model. The main goal of … the simulation-optimization model is to minimize shortages in meeting irrigation demands for three irrigation systems …

together with an optimization algorithm in a linked simulation-optimization framework. The use of numerical models for aquifer … simulation within optimization models is constrained by the huge computational burden involved. Approximation surrogates are … disadvantages with the neural network based surrogate modeling approach. Two linked simulation optimization models based on ANN and …

, several approaches using optimization techniques have been developed for identifying model parameters. Although most of the … optimization problem, which is solved by employing a competent evolutionary algorithm. With this methodology, a modeler can be … fully assisted to carry out not only a single parameter optimization run, but also a variety of calibration tasks in a …

at the demand nodes. In this study, a Genetic Algorithm (GA) based optimization model is used to develop the optimal … failure indices of the system have been considered as constraints in the optimization model to achieve the minimum required … Network (ANN) model. Outputs of the ANN model as a hydraulic pressure function is then linked to a GA based optimization model …

. The developed optimization models are solved using Genetic Algorithm. The variances of estimated concentrations at …

Over the past decade, several conventional optimization techniques had been developed for the optimization of complex … developed based on the principles of natural evolution. The major difference between the conventional optimization techniques … initial condition. In the present study, the chaos algorithm is coupled with evolutionary optimization algorithms such as …