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WSC
2000
15 years 7 months ago
Simulation optimization of stochastic systems with integer variables by sequential linearization
Discrete-event simulation is widely used to analyse and improve the performance of manufacturing systems. The related optimization problem often includes integer design variables ...
S. J. Abspoel, L. F. P. Etman, J. Vervoort, J. E. ...
EVOW
2009
Springer
16 years 1 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
186
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GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 11 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
ICML
2000
IEEE
16 years 7 months ago
A Nonparametric Approach to Noisy and Costly Optimization
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Brigham S. Anderson, Andrew W. Moore, David Cohn
ICCD
2000
IEEE
79views Hardware» more  ICCD 2000»
16 years 3 months ago
Efficient Logic Optimization Using Regularity Extraction
This paper presents a new method to extract functionally equivalent structures from logic netlists. It uses a fast functional regularity extraction algorithm based on structural e...
Thomas Kutzschebauch