Heuristic speciation for evolving neural network ensemble
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Computers and Electronics in Agriculture
Evolutionary product-unit neural networks classifiers
Neurocomputing
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Expert Systems with Applications: An International Journal
An Evolutionary Artificial Neural Network for Medical Pattern Classification
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
A dynamic over-sampling procedure based on sensitivity for multi-class problems
Pattern Recognition
Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
Expert Systems with Applications: An International Journal
A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization
Information Sciences: an International Journal
A memetic approach to protein structure prediction in triangular lattices
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Evolutionary product-unit neural networks for classification
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Registrar: a complete-memory operator to enhance performance of genetic algorithms
Journal of Global Optimization
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks
Expert Systems with Applications: An International Journal
mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Artificial Intelligence in Medicine
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This paper presents a hybrid evolutionary algorithm (EA) to solve nonlinear-regression problems. Although EAs have proven their ability to explore large search spaces, they are comparatively inefficient in fine tuning the solution. This drawback is usually avoided by means of local optimization algorithms that are applied to the individuals of the population. The algorithms that use local optimization procedures are usually called hybrid algorithms. On the other hand, it is well known that the clustering process enables the creation of groups (clusters) with mutually close points that hopefully correspond to relevant regions of attraction. Local-search procedures can then be started once in every such region. This paper proposes the combination of an EA, a clustering process, and a local-search procedure to the evolutionary design of product-units neural networks. In the methodology presented, only a few individuals are subject to local optimization. Moreover, the local optimization algorithm is only applied at specific stages of the evolutionary process. Our results show a favorable performance when the regression method proposed is compared to other standard methods.