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» Incremental evolution strategy for function optimization
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GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
13 years 10 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
13 years 9 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
ROCAI
2004
Springer
13 years 11 months ago
ROC Optimisation of Safety Related Systems
Abstract. Many safety related and critical systems warn of potentially dangerous events; for example the Short Term Conflict Alert (STCA) system warns of airspace infractions betw...
Jonathan E. Fieldsend, Richard M. Everson
ESANN
2004
13 years 7 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
ASPDAC
2007
ACM
98views Hardware» more  ASPDAC 2007»
13 years 10 months ago
Node Mergers in the Presence of Don't Cares
Abstract-- SAT sweeping is the process of merging two or more functionally equivalent nodes in a circuit by selecting one of them to represent all the other equivalent nodes. This ...
Stephen Plaza, Kai-Hui Chang, Igor L. Markov, Vale...