Sciweavers

WSC
1997
14 years 23 days ago
Single Run Optimization Using the Reverse-Simulation Method
An efficient “Simulation Optimization” technique is developed to solve system design problems which can not be expressed in explicit analytical or mathematical models. In part...
Young Hae Lee, Kyoung Jong Park, Yun Bae Kim
WSC
1997
14 years 23 days ago
Simulation Optimization: Methods and Applications
Simulation optimization can be defined as the process of finding the best input variable values from among all possibilities without explicitly evaluating each possibility. The ob...
Yolanda Carson, Anu Maria
WSC
1998
14 years 23 days ago
Simulation Optimization Research and Development
Simulation optimization is rapidly becoming a mainstream tool for simulation practitioners. Simulation optimization is the practice of linking an optimization method with a simula...
Royce Bowden, John D. Hall
WSC
2008
14 years 1 months ago
Optimizing inspection strategies for multi-stage manufacturing processes using simulation optimization
This paper deals with the problem of determining the optimal inspection strategy for a multi-stage production process using simulation optimization. An optimal inspection strategy...
Vahid Sarhangian, Abolfazl Vaghefi, Hamidreza Eska...
WSC
2008
14 years 1 months ago
The improved sweep metaheuristic for simulation optimization and application to job shop scheduling
We present an improved sweep metaheuristic for discrete event simulation optimization. The sweep algorithm is a tree search similar to beam search. The basic idea is to run a limi...
George Jiri Mejtsky
WSC
2007
14 years 1 months ago
Allocation of simulation runs for simulation optimization
Simulation optimization (SO) is the process of finding the optimum design of a system whose performance measure(s) are estimated via simulation. We propose some ideas to improve o...
Alireza Kabirian, Sigurdur Ólafsson
WSC
2007
14 years 1 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan