study. Simulation optimization is used to simultaneously account for uncertainty and to determine (near) optimal scheduling … environmental variables and stochastic elements of the model are simultaneously accounted for by the simulation optimization … algorithm. The (very few) prior papers that have used simulation optimization have not addressed the factors studied here.  …

optimal reservoir operation strategy and/or emergency planning in selective withdrawal framework. The simulation-optimization …

A simulation optimization framework is proposed for supply chain inventory management of highly perishable products. A …

, considering groundwater as the supplemental source of irrigation, conjunctive use management study by combined simulation-optimization …

continuously strive to improve operations and lower costs. In this research, we employ a simulation optimization approach to …

-time combinatorial stochastic simulation optimization problems with huge discrete solution space. The first step of ES + OO is to use an … a combinatorial stochastic simulation optimization problem that consists of a huge discrete solution space formed by the …

resources. Simulation optimization refers to methods that search the design space (i.e., the set of all feasible system … multiple objectives, traditional simulation optimization methods are ineffective to uncover the efficient frontier. We propose … a framework for multi-objective simulation optimization that combines the power of genetic algorithm (GA), which can …