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» On the practical genetic algorithms
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JCIT
2010
162views more  JCIT 2010»
13 years 3 months ago
Traffic Prediction Based on Improved Neural Network
Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the art...
Jian-ming Cui
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 2 months ago
Harmony search for structural design
Various algorithms have been developed and applied to structural optimization, in which cross-sectional areas of structure members are assumed to be continuous. In most cases of p...
Zong Woo Geem, Kang Seok Lee, Chung-Li Tseng
GECCO
2005
Springer
114views Optimization» more  GECCO 2005»
14 years 2 months ago
Exploiting disruption aversion to control code bloat
The authors employ multiple crossovers as a novel natural extension to crossovers as a mixing operator. They use this as a framework to explore the ideas of code growth. Empirical...
Jason Stevens, Robert B. Heckendorn, Terence Soule

Book
7793views
15 years 6 months ago
Introduction to Neural Networks for C#
"Introduction to Neural Networks fpr C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures...
Jeff Heaton
JCB
2006
114views more  JCB 2006»
13 years 8 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman