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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 7 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
CEC
2009
IEEE
15 years 8 months ago
Evolutionary design of the energy function for protein structure prediction
— Automatic protein structure predictors use the notion of energy to guide the search towards good candidate structures. The energy functions used by the state-of-the-art predict...
Pawel Widera, Jonathan M. Garibaldi, Natalio Krasn...
CEC
2007
IEEE
15 years 8 months ago
Self-adaptation of mutation distribution in evolutionary algorithms
— This paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpo...
Renato Tinós, Shengxiang Yang
ISMIS
2011
Springer
14 years 4 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 7 months ago
Map-labelling with a multi-objective evolutionary algorithm
We present a multi-objective evolutionary algorithm approach to the map-labelling problem. Map-labelling involves placing labels for sites onto a map such that the result is easy ...
Lucas Bradstreet, Luigi Barone, R. Lyndon While