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WSC
2004
13 years 9 months ago
A Meta-Heuristic Based on Simulated Annealing for Solving Multiple-Objective Problems in Simulation Optimization
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
WSC
1997
13 years 9 months ago
Searching for Important Factors: Sequential Bifurcation under Uncertainty
The problem of searching for important factors in a simulation model is considered when the simulation output is subject to stochastic variation. Bettonvil and Kleijnen (1996) giv...
Russell C. H. Cheng
WSC
2004
13 years 9 months ago
Simulation-Based Optimization Using Simulated Annealing With Confidence Interval
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
Talal M. Alkhamis, Mohamed A. Ahmed
BIBE
2009
IEEE
161views Bioinformatics» more  BIBE 2009»
14 years 2 months ago
Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods
One of the essential components of a virtual reality surgical simulation is deformation. Deformations in computer graphics and surgical simulations are commonly modeled with three...
Tansel Halic, Sinan Kockara, Coskun Bayrak, Richar...
WSC
2004
13 years 9 months ago
A New Method to Determine the Tool Count of a Semiconductor Factory Using FabSim
Tool count optimization is mandatory for an efficiently organized semiconductor factory. This paper describes an efficient heuristic to determine the tool count using the compact ...
Holger Vogt