Part I: Evolutionary Computation Theory and Applications
Niching-based Feature Selection with Multi-Tree Genetic Programming for Dynamic Flexible Job Shop Scheduling
Building Market Timing Strategies using Trend Representative Testing and Computational Intelligence Metaheuristics
Hybrid Strategy Coupling EGO and CMA-ES for Structural Topology Optimization in Statics and Crashworthiness
An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming
Handling Complexity in Some Typical Problems of Distributed Systems by using Self-organizing Principles
Part II: Fuzzy Computation Theory and Applications
Markov Decision Processes with Fuzzy Risk-sensitive Rewards: The Best Coherent Risk Measures under Risk Averse Utilities
Correlation Analysis via Intuitionistic Fuzzy Modal and Aggregation Operators
Fuzzy Geometric Approach to Collision Estimation under Gaussian Noise in Human-robot Interaction
Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-based Models
Part III: Neural Computation Theory and Applications
Neural Models to Quantify the Determinants of Truck Fuel Consumption
Towards a Class-aware Information Granulation for Graph Embedding and Classication
Near Optimal Solving of the (N21)-Puzzle using Heuristics based on Articial Neural Networks
Deep Convolutional Neural Network Processing of Images for Obstacle Avoidance
CVaR Q-learning
Rule Extraction from Neural Networks and Other Classiers Applied to XSS Detection
Introduction to Sequential Heteroscedastic Probabilistic Neural Networks.