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GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 6 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 6 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
ESANN
2006
13 years 6 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
FLAIRS
2001
13 years 6 months ago
A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming
Afuzzy classifier systemframeworkis proposedwhich employsa tree-based representation for fuzzy rule (classifier) antecedents and genetic programmingfor fuzzy rule discovery. Sucha...
Brian Carse, Anthony G. Pipe