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» Modular Neural Networks Evolved by Genetic Programming
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ICGA
1993
145views Optimization» more  ICGA 1993»
14 years 10 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
CEC
2005
IEEE
14 years 11 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
ECAL
1995
Springer
15 years 1 months ago
Evolving Artificial Neural Networks that Develop in Time
Although recently there has been an increasing interest in studing genetically-based development using Artificial Life models, the mapping of the genetic information into the phen...
Stefano Nolfi, Domenico Parisi
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
15 years 3 months ago
Program evolvability under environmental variations and neutrality
Biological organisms employ various mechanisms to cope with the dynamic environments they live in. One recent research reported that depending on the rates of environmental variati...
Tina Yu
CEC
2010
IEEE
14 years 10 months ago
An examination on the modularity of grammars in grammatical evolutionary design
Abstract-- This work furthers the understanding of modularity in grammar-based genetic programming approaches by analyzing how different grammars may be capable of producing the sa...
John Mark Swafford, Michael O'Neill