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GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 11 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
WSC
2008
13 years 10 months ago
Stochastic kriging for simulation metamodeling
We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide fl...
Bruce E. Ankenman, Barry L. Nelson, Jeremy Staum
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
WSC
1997
13 years 9 months ago
Bayesian Analysis for Simulation Input and Output
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
Stephen E. Chick
CCE
2007
13 years 7 months ago
An agent-based approach for supply chain retrofitting under uncertainty
In this work, decisions that have a long lasting effect on the SC such as the design and retrofit of a production/distribution network are considered. The retrofitting tasks are a...
Fernando D. Mele, Gonzalo Guillén, Antonio ...