J. Gomez, and D. Dasgupta, "Using Competitive Operators and a Local Selection Scheme in Genetic Search", Submitted as Late-breaking paper to the Evolutionary Computation Conference GECCO02, 2002 Home/Search Document Not in Database Summary Related Articles |
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Complete Expression Trees for Evolving Fuzzy.. - Gomez, Dasgupta.. (2002) Self-citation (Dasgupta) (Correct)
....of the trained classifier was calculated as the average of these ten tests. This process was repeated five times for each data set and the average score was computed. 5.2. Experimental settings A genetic algorithm with competitive genetic operators was employed to evolve the fuzzy classifier [15]. The algorithm uses a hybrid co evolutionary learning rule strategy that updates the operator probabilities in a competitive way according to the applied operator and its effect over the chromosome fitness. The selection process uses the neighborhood concept to choose the parents. We used this ....
J. Gomez, and D. Dasgupta, "Using Competitive Operators and a Local Selection Scheme in Genetic Search", Submitted as Late-breaking paper to the Evolutionary Computation Conference GECCO02, 2002
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