In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number of equality and inequality constraints. Often the conventional techniques fail to yield global optimal solution...

In traditional ecological operation, it is difficult to coordinate the balance among interests of stakeholders, and stakeholders find accept operation scheme. To address these problems, this study proposed a method multi-stakeholder coordinated reservoir (MSCOR). By comprehensively considering interest demands interval coordination mechanism (MSICM) for was established. The model (MSCOM) constr...

reservoir dams are among the main storage systems employed in agriculture for the several past decades. proper operation of these reservoirs is important for irrigation espe-cially in such arid and semi-arid areas like iran, and particularly during dry years. a computational framework for reservoir simulation and flood routing is hereby presented. a key aspect of the reservoir simulation is the...

Modeling and analysis of collective management of water resources A. Tilmant, P. van der Zaag, and P. Fortemps UNESCO-IHE, Department of Management and Institution, Delft, The Netherlands Delft University of Technology, Delft, The Netherlands Faculté Polytechnique de Mons, Department of Applied Mathematics and Operational Research, Mons, Belgium Received: 4 July 2006 – Accepted: 17 August 2006 ...

The study describes a Grammatical Evolution (GE) system and applies it to establish the inflow prediction model of Der-Ji Reservoir in central Taiwan. GE is a new computing architecture in the area of optimization. It provides system identification in a transparent and structured way; a fittest function type of input-output relationship will be obtained automatically from this method. A multi-...

The application of optimization tools and techniques to operate the reservoir on a Multi-objective basis under the circumstances of climate change is unavoidable. The present study utilizes the Multi-Objective Farmland Fertility Optimization (MOFFA) algorithm to derive optimum rules on the operation of the Golestan Dam in Golestan province under circumstances of climate change. The two targets ...

A multi-objective particle swarm optimization (MOPSO) approach is presented for generating Pareto-optimal solutions for reservoir operation problems. This method is developed by integrating Pareto dominance principles into particle swarm optimization (PSO) algorithm. In addition, a variable size external repository and an efficient elitist-mutation (EM) operator are introduced. The proposed EM-...