Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Towards designing artificial neural networks by evolution
Applied Mathematics and Computation - Special issue on articficial life and robotics
Memetic algorithms: a short introduction
New ideas in optimization
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
C-Net: a method for generating non-deterministic and dynamic multivariate decision trees
Knowledge and Information Systems
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolving the Topology and the Weights of Neural Networks Using a Dual Representation
Applied Intelligence
Evolving neural networks through augmenting topologies
Evolutionary Computation
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Multi-objectivity for brain-behavior evolution of a physically-embodied organism
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Searching under multi-evolutionary pressures
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Making use of population information in evolutionary artificialneural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary Computation - Special issue on magnetic algorithms
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Graph grammar encoding and evolution of automata networks
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Multiobjective Optimization in Bioinformatics and Computational Biology
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Evolutionary product-unit neural networks classifiers
Neurocomputing
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
Applications of multi-objective structure optimization
Neurocomputing
Ideas about a regularized MLP classifier by means of weight decay stepping
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
Neural network ensembles: immune-inspired approaches to the diversity of components
Natural Computing: an international journal
Learning in the feed-forward random neural network: A critical review
Performance Evaluation
Multiobjective optimization of ensembles of multilayer perceptrons for pattern classification
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Multi-objective hybrid evolutionary algorithms for radial basis function neural network design
Knowledge-Based Systems
Multi-objective model selection for support vector machines
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Differential evolution with self-adaptive populations
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Evolutionary learning using a sensitivity-accuracy approach for classification
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
A multi-objective neural network based method for cover crop identification from remote sensed data
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Artificial Intelligence in Medicine
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The use of backpropagation for training artificial neural networks (ANNs) is usually associated with a long training process. The user needs to experiment with a number of network architectures; with larger networks, more computational cost in terms of training time is required. The objective of this letter is to present an optimization algorithm, comprising a multiobjective evolutionary algorithm and a gradient-based local search. In the rest of the letter, this is referred to as the memetic Pareto artificial neural network algorithm for training ANNs. The evolutionary approach is used to train the network and simultaneously optimize its architecture. The result is a set of networks, with each network in the set attempting to optimize both the training error and the architecture. We also present a self-adaptive version with lower computational cost. We show empirically that the proposed method is capable of reducing the training time compared to gradient-based techniques.