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CEC
2010
IEEE
15 years 7 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne
BMCBI
2008
138views more  BMCBI 2008»
15 years 6 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
16 years 6 days ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
AI
2003
Springer
15 years 12 months ago
An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem
The prediction of a protein’s structure from its amino-acid sequence is one of the most important problems in computational biology. In the current focus on a widely studied abst...
Alena Shmygelska, Holger H. Hoos
COR
2010
150views more  COR 2010»
15 years 6 months ago
Black box scatter search for general classes of binary optimization problems
The purpose of this paper is to apply the scatter search methodology to general classes of binary problems. We focus on optimization problems for which the solutions are represent...
Francisco Gortázar, Abraham Duarte, Manuel ...