Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews -- Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures -- Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design -- Evolution of Inductive Self-organizing Networks -- Recursive Pattern based Hybrid Supervised Training -- Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC) -- Evolutionary Approaches to Rule Extraction from Neural Networks -- Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller -- Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization -- A New Genetic Approach for Neural Network Design -- A Grammatical Genetic Programming Representation for Radial Basis Function Networks -- A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth -- On the Design of Large-scale Cellular Mobile Networks Using Multi-population Memetic Algorithms -- A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem -- Particle Swarm Optimization with Mutation for High Dimensional Problems.