poverty or at least to reduce it significantly. The method is a classical optimization method using a greed optimization … value at each iteration. Expenses are also optimized to reduce inequality as measured by the Gini-coefficient. Revenues and …

Optimization of an agent-based simulation (ABS) bears specific challenges. It is demonstrated in this paper that … mainstream simulation-based optimization (SBO) approaches often do not perform well in such a setting, sometimes hardly … neglected so far, but should structurally also be universally applicable for other simulation-based optimization problems as …

quantitative approaches using game-theoretic analysis and living lab simulation what triggers, catalysts and accelerators for …

This article uses a sequentialized experimental design to select simulation input combinations for global optimization …/output data of the simulation model (computer code). This design and analysis adapt the classic “expected improvement” (EI) in … “efficient global optimization” (EGO) through the introduction of an improved estimator of the Kriging predictor variance; this …

management models. These combined models, via simulation and optimization algorithms, result in one optimal solution through …

uses a combination of linear programming (LP) and simulation. The LP model maximizes the net return of the farmers, subject … to restrictions of the system, availability of water and land, and water transfer relationships. The simulation model is …

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

simultaneously minimize investment costs of constructions and potential flood damage costs. This study proposes a simulation …-based optimization approach to optimize the design of multi-reservoirs for flood control in the watershed by coupling the MIKE-11 … hydrodynamic model and the NSGA-II multi-objective optimization model. The present approach provides the Pareto optimal solutions …