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137
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TEC
2002
15 years 3 months ago
2002
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
138
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ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
128
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
142
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
114
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AUSAI
2001
Springer
15 years 7 months ago
2001
Springer
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...