Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity

Authors:
Juan Carlos Fernández;César Hervás;Francisco José Martínez;Pedro Antonio Gutiérrez;Manuel Cruz
Affiliations:
Department of Computer Science and Numerical Analysis of the University of Cordoba, Cordoba, Spain 14071;Department of Computer Science and Numerical Analysis of the University of Cordoba, Cordoba, Spain 14071;Department of Management and Quantitative Methods, ETEA, Cordoba, Spain 14005;Department of Computer Science and Numerical Analysis of the University of Cordoba, Cordoba, Spain 14071;Department of Computer Science and Numerical Analysis of the University of Cordoba, Cordoba, Spain 14071
Venue:
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Year:
2009

Citing 10
Cited 9

Robust classification systems for imprecise environments

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes

HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
ParadisEO-MOEO: a framework for evolutionary multi-objective optimization

EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Neural networks for classification: a survey

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An evolutionary artificial neural networks approach for breast cancer diagnosis

Artificial Intelligence in Medicine

Hybrid Pareto differential evolutionary artificial neural networks to determined growth multi-classes in predictive microbiology

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Memetic pareto differential evolutionary neural network for donor-recipient matching in liver transplantation

IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
An operator allocation optimization model for balancing control of the hybrid assembly lines using Pareto utility discrete differential evolution algorithm

Computers and Operations Research
A multi-objective neural network based method for cover crop identification from remote sensed data

Expert Systems with Applications: An International Journal
Hybrid multi-objective machine learning classification in liver transplantation

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Differential Evolution for automatic rule extraction from medical databases

Applied Soft Computing
Differential evolution based nearest prototype classifier with optimized distance measures for the features in the data sets

Expert Systems with Applications: An International Journal
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work proposes a Multiobjective Differential Evolution algorithm based on dominance Pareto concept for multiclassification problems using multilayer perceptron neural network models. The algorithm include a local search procedure and optimizes two conflicting objectives of multiclassifiers, a high correct classification rate and a high classification rate for each class, of which the latter is not usually optimized in classification. Once the Pareto front is built, we use two automatic selection methodologies of individuals: the best model with respect to accuracy and the best model with respect to sensitivity (extremes in the Pareto front). These strategies are applied to solve six classification benchmark problems obtained from the UCI repository. The models obtained show a high accuracy and a high classification rate for each class.