Artificial Life and Computational Intelligence

Mathematical Modeling and Theory.- FractalDimension - A Spatial and Visual Design Technique for the Creation of LifelikeArtificial Forms.- Using Closed Sets to Model Cognitive Behavior.- Learning andOptimization.- Solving dynamic optimisation problem with known changeableboundaries.- Compaction for Code Fragment Based Learning Classifier Systems.- TheBoon of Gene-Culture Interaction for Effective Evolutionary Multitasking.- AStudy on Performance Metrics to Identify Solutions of Interest From a Trade-offSet.- Dynamic Configuration of Differential Evolution Control Parameters andOperators.- Exploring the Feasible Space using Constraint Consensus in Solving ConstrainedOptimization Problems.- A Nested Differential Evolution based Algorithm forSolving Multi-objective Bilevel Optimization Problems.- Parkinson's DiseaseData Classification Using Evolvable Wavelet Neural Networks.- GO-PEAS: AScalable Yet Accurate Grid-based Outlier Detection Method Using Novel PruningSearching Techniques.- Multi-objective Genetic Programming for Figure-ground ImageSegmentation.- A New Modification of Fuzzy C-Means via Particle SwarmOptimization for Noisy Image Segmentation.- Competitive Island CooperativeNeuro-Evolution of Feedforward Networks for Time Series Prediction.- ReverseNeuron Level Decomposition for Cooperative Neuro-Evolution of FeedforwardNetworks for Time Series Prediction.- A Delaunay Triangulation Based DensityMeasurement for Evolutionary Multi-objective Optimization.- Use of InfeasibleSolutions During Constrained Evolutionary Search: A Short Survey.- Planning andScheduling.- A Differential Evolution Algorithm for Solving ResourceConstrained Project Scheduling Problems.- A hybrid imperialist competitivealgorithm for flexible job shop problem.- Parallel Multi-objective Job ShopScheduling Using Genetic Programming.- Optimization of Location Allocation ofWeb Services Using A Modified Non-dominated Sorting Genetic Algorithm.- DoubleAction Genetic Algorithm for Scheduling the