Proceedings of the third international conference on Genetic algorithms
Recursive 3-D Road and Relative Ego-State Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Adapting Operator Probabilities in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Speeding up backpropagation using multiobjective evolutionary algorithms
Neural Computation
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Neural networks for classification: a survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Information Theory
A simple procedure for pruning back-propagation trained neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
Evolutionary product-unit neural networks classifiers
Neurocomputing
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
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We present applications of multi-objective evolutionary optimization of feed-forward neural networks (NN) to two real world problems, car and face classification. The possibly conflicting requirements on the NNs are speed and classification accuracy, both of which can enhance the embedding systems as a whole. We compare the results to the outcome of a greedy optimization heuristic (magnitude-based pruning) coupled with a multi-objective performance evaluation. For the car classification problem, magnitude-based pruning yields competitive results, whereas for the more difficult face classification, we find that the evolutionary approach to NN design is clearly preferable.