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» Evolving Quasigroups by Genetic Algorithms
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JACIII
2007
103views more  JACIII 2007»
13 years 9 months ago
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms
In this paper, the issue of adapting migration parameters for MGAs is investigated. We examine, in particular, the effect of adapting the migration rates on the performance and so...
Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-H...
TKDE
2008
111views more  TKDE 2008»
13 years 9 months ago
A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...
Sanghamitra Bandyopadhyay, Sriparna Saha
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 9 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 2 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 3 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...