Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective

Accelerated Simulation of Discrete Event Dynamic Systems via a Multi-Fidelity Modeling Framework "2279

Simulation analysis has been performed for simulation experiments of all possible input combinations as a “what-if” analysis, which causes the simulation to be extremely time-consuming. To resolve this problem, this paper proposes a multi-fidelity modeling framework for enhancing simulation speed while minimizing simulation accuracy loss. A target system for this framework is a discrete event d...

A JAVA-BASED FRAMEWORK FOR DISCRETE EVENT SIMULATION A framework for Discrete Event Simulation and MOdeling

The system presented bridges the gap between three different research areas: discrete event simulation, heuristic optimization methods and distributed systems technology. Its goal is to provide a framework which supports an efficient implementation of simulation optimization projects, including heuristic optimum seeking procedures and parallel execution of experiments. It is written completely ...

USMC inventory control using optimization modeling and discrete event simulation

Optimization of Operations Resources via Discrete Event Simulation Modeling

The resource levels required for operation and support of reusable launch vehicles are typically defined through discrete event simulation modeling. Minimizing these resources constitutes an optimization problem involving discrete variables and simulation. Conventional approaches to solve such optimization problems involving integer valued decision variables are the pattern search and statistic...

Optimization of Stochastic Discrete Event Simulation Models

This short note gives a brief overview of optimization approaches for stochastic discrete event simulation. In particular it shows how by the combination of different methods hybrid algorithms can be composed that allow a fairly efficient and reliable optimization of medium sized models.