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» Modeling GA Performance for Control Parameter Optimization
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ESWA
2007
146views more  ESWA 2007»
13 years 5 months ago
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
IPPS
2006
IEEE
13 years 11 months ago
Parallel genetic algorithm for SPICE model parameter extraction
Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
Yiming Li, Yen-Yu Cho
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
13 years 11 months ago
An application of EDA and GA to dynamic pricing
E-commerce has transformed the way firms develop their pricing strategies, producing shift away from fixed pricing to dynamic pricing. In this paper, we use two different Estim...
Siddhartha Shakya, Fernando Oliveira, Gilbert Owus...
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
13 years 9 months ago
Fluctuating crosstalk, deterministic noise, and GA scalability
This paper extends previous work showing how fluctuating crosstalk in a deterministic fitness function introduces noise into genetic algorithms. In that work, we modeled fluctuati...
Paul Winward, David E. Goldberg
CCE
2005
13 years 5 months ago
Uncertainties in parameter estimation and optimal control in batch distillation
Optimal control problems in batch distillation involve finding a trajectory for the reflux ratio so as to maximize a performance index. Then the controller is asked to follow this...
Saadet Ulas, Urmila M. Diwekar, Mark A. Stadtherr