An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification

An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification

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Article ID: iaor20043293
Country: United Kingdom
Volume: 31
Issue: 4
Start Page Number: 481
End Page Number: 498
Publication Date: Apr 2004
Journal: Computers and Operations Research
Authors: ,
Keywords: heuristics
Abstract:

We study the performance of genetic algorithm (GA) based artificial neural network (ANN) for different crossover operators. We use simulated and real life data to test the performance of GA-based ANN. Our results indicate the arithmetic crossover operator may be suitable crossover operator for GA based ANN.

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