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» An algorithmic approach to knowledge evolution
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ICMLA
2007
13 years 8 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
FLAIRS
2003
13 years 8 months ago
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
Artur S. d'Avila Garcez, Luís C. Lamb, Krys...
AAAI
1994
13 years 8 months ago
Rule Based Updates on Simple Knowledge Bases
In this paper we consider updates that are specified as rules and consider simple knowledge bases consisting of ground atoms. We present a translation of the rule based update spe...
Chitta Baral
WOB
2004
13 years 8 months ago
A Multi-Neighbor-Joining Approach for Phylogenetic Tree Reconstruction and Visualization
ABSTRACT. The computationally challenging problem of reconstructing the phylogeny of a set of contemporary data, such as DNA sequences or morphological attributes, was treated by a...
Ana Estela Antunes da Silva, Wilfredo J. Puma-Vill...
HAIS
2009
Springer
13 years 11 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...