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» Model selection in genetic programming
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ATS
2003
IEEE
105views Hardware» more  ATS 2003»
14 years 2 months ago
Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortuna...
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. R...
NPL
2000
138views more  NPL 2000»
13 years 8 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
EAAI
2006
123views more  EAAI 2006»
13 years 8 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
EOR
2006
97views more  EOR 2006»
13 years 8 months ago
Bayesian portfolio selection with multi-variate random variance models
We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
Refik Soyer, Kadir Tanyeri
GECCO
2004
Springer
14 years 2 months ago
A Systematic Study of Genetic Algorithms with Genotype Editing
Abstract. This paper continues our systematic study of an RNAediting computational model of Genetic Algorithms (GA). This model is constructed based on several genetic editing char...
Chien-Feng Huang, Luis Mateus Rocha