A novel similarity-based crossover for artificial neural network evolution

Authors:
Mauro Dragoni;Antonia Azzini;Andrea G. B. Tettamanzi
Affiliations:
Università degli Studi di Milano, Dipartimento di Tecnologie dell'Informazione;Università degli Studi di Milano, Dipartimento di Tecnologie dell'Informazione;Università degli Studi di Milano, Dipartimento di Tecnologie dell'Informazione
Venue:
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Year:
2010

Citing 11
Cited 5

An algorithm to generate radial basis function (RBF)-like nets for classification problems

Neural Networks
Machine learning, neural and statistical classification

Machine learning, neural and statistical classification
The Advantages of Evolutionary Computation

Biocomputing and emergent computation: Proceedings of BCEC97
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization

Neural Networks
Evolving neural networks for static single-position automated trading

Journal of Artificial Evolution and Applications - Regular issue
Graph Matching Recombination for Evolving Neural Networks

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
On the significance of the permutation problem in neuroevolution

Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A new evolutionary system for evolving artificial neural networks

IEEE Transactions on Neural Networks
Exploring constructive cascade networks

IEEE Transactions on Neural Networks
Constructive neural-network learning algorithms for pattern classification

IEEE Transactions on Neural Networks
COVNET: a cooperative coevolutionary model for evolving artificial neural networks

IEEE Transactions on Neural Networks

A part-of-speech lexicographic encoding for an evolutionary word sense disambiguation approach

EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
Using evolutionary neural networks to test the influence of the choice of numeraire on financial time series modeling

EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
A neuro-evolutionary approach to intraday financial modeling

EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Electrocardiographic signal classification with evolutionary artificial neural networks

EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
SimBa: A novel similarity-based crossover for neuro-evolution

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work presents an evolutionary approach for the optimization of neural networks design, based on the joint evolution of the topology and the connection weights, providing a novel similarity-based crossover that aims to overcome one of the major problems of this operator, known as the permutation problem. The approach has been implemented and applied to two benchmark classification problems in machine learning, and the experimental results, compared to those obtained by other works in the literature, show how it can produce compact neural networks with a satisfactory generalization capability.