Ranking-Based Black-Box Complexity

Recalling of Images using Hopfield Neural Network Model

Recent Results on No-Free-Lunch Theorems for Optimization

Recorded Step Directional Mutation for Faster Convergence

Reducing the Arity in Unbiased Black-Box Complexity

Reinforcement Learning by Value Gradients

Representation of Functional Data in Neural Networks

Réseaux d'Automates de Caianiello Revisité

Results of Evolution Supervised by Genetic Algorithms

Revisiting Evolutionary Algorithms with On-the-Fly Population Size Adjustment

REx: An Efficient Rule Generator

RGANN: An Efficient Algorithm to Extract Rules from ANNs

Risk Assessment Algorithms Based On Recursive Neural Networks

Robustness and Adaptiveness Analysis of Future Fleets

Roulette-wheel selection via stochastic acceptance

Round Trip Time Prediction Using the Symbolic Function Network Approach

Rule Extraction using Artificial Neural Networks

Rule Generalisation in Intrusion Detection Systems using Snort