Note: Intro -- Preface -- Organization -- Contents -- Optimization and Learning -- Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems -- 1 Introduction -- 2 Literature Review -- 2.1 Job Shop Scheduling -- 2.2 Multi-Agent Reinforcement Learning (MARL) -- 3 Multi-Agent Reinforcement Learning Tool -- 4 Experimental Results -- 5 Conclusions -- References -- Evolving a Deep Neural Network Training Time Estimator -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Overview -- 3.2 DTT/B Model -- 3.3 DTT/B Features -- 3.4 Co-evolving the DTT/B Training Set -- 4 Results -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion and Future Work -- References -- Automatic Structural Search for Multi-task Learning VALPs -- 1 Introduction -- 2 Related Work -- 3 VALP -- 4 VALP Structure Search -- 4.1 VALP Modifying Operators -- 4.2 Hill Climbing -- 5 Experiments -- 5.1 Problem Being Addressed -- 5.2 Methodology -- 5.3 Results -- 6 Conclusions and Future Work -- References -- Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection -- 1 Introduction -- 2 Literature Review -- 3 CACOC Mobility -- 4 Cooperative Coevolutionary Genetic Algorithm -- 4.1 Operators -- 4.2 Fitness Function -- 5 Simulation Environment -- 6 Experimental Results -- 7 Conclusion -- References -- Demystifying Batch Normalization: Analysis of Normalizing Layer Inputs in Neural Networks -- 1 Introduction -- 2 Batch Normalization Problem Description -- 2.1 Convolution Neural Network: ReLu BN -- 2.2 Convolution Neural Network: BN ReLu -- 2.3 Residual Neural Network -- 3 Experiments -- 4 Result -- 5 Analysis -- 5.1 Gradient Flow -- 6 Discussion -- References -- Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance -- 1 Introduction -- 2 Materials and Methodology -- 2.1 Synthetic Datasets. , 2.2 Baseline Methods -- 2.3 A Hybrid Genetic Algorithm Group-LASSO (GAGL) -- 2.4 Experimental Design -- 3 Results -- 4 Conclusions -- References -- Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach -- 1 Introduction -- 2 Brief Introduction to SOM, SARIMA and SVR Models -- 3 Forecasting Approach -- 3.1 The Proposed Hybrid Methodology -- 3.2 Performance Indexes -- 4 Experimental Results and Discussion -- 5 Conclusions -- References -- Transportation -- Intelligent Electric Drive Management for Plug-in Hybrid Buses -- 1 Introduction -- 2 Sustainable Urban Transport -- 3 The Efficient PH Bus Operation Problem -- 4 Solving the Problem -- 4.1 Simulator -- 4.2 Genetic Algorithms -- 4.3 Artificial Neural Networks -- 5 Experimentation -- 5.1 Scenario -- 5.2 Configuration of the Experiments -- 5.3 Solving the Problem with the GA -- 5.4 Hyperparameters Selection and Tuning for the ANN -- 5.5 Validation of the ANN Model -- 6 Conclusions and Future Work -- References -- A Heuristic Algorithm for the Set k-Cover Problem -- 1 Introduction -- 2 Problem Statement -- 3 A Lower Bound -- 4 A Heuristic Algorithm for SkCP -- 5 Computational Results -- 5.1 The Number of Best Obtained Solutions -- 5.2 The Gap Between the Lower and Upper Bounds -- 5.3 The Computational Time -- 6 Conclusion -- References -- Learning -- Computational Intelligence for Evaluating the Air Quality in the Center of Madrid, Spain -- 1 Introduction -- 2 Case Study and Related Works -- 2.1 Reducing Traffic: Residential Priority Areas and Madrid Central -- 2.2 Related Works -- 3 Methodology for Air Quality Evaluation -- 3.1 Data Analysis Approach -- 3.2 Data Description -- 3.3 Computational Intelligence Methods Applied in the Study -- 3.4 Metrics and Statistical Tests -- 4 Experimental Evaluation -- 4.1 Development and Execution Platform -- 4.2 Experimental Results. , 5 Conclusions and Future Work -- References -- Intelligent System for the Reduction of Injuries in Archery -- 1 Introduction -- 2 Background and Related Work -- 3 Proposed Training System: ATILA -- 3.1 Image Acquisition -- 3.2 Calculation of the Position of the Joints -- 3.3 Analysis of the Relative Position -- 3.4 Evaluation of the Shot -- 4 Experimental Setup -- 5 Preliminary Results -- 6 Conclusions -- References -- Learning Patterns for Complex Event Detection in Robot Sensor Data -- 1 Introduction -- 2 Sample Use Case -- 3 Related Work -- 4 Problem Statement -- 5 Approach -- 5.1 Overview -- 5.2 Optimization Approaches -- 6 Implementation -- 7 Evaluation -- 7.1 Test Data -- 7.2 Configuration -- 7.3 Results -- 7.4 Purely Numerical Optimization -- 7.5 Evaluation of Requirements -- 8 Conclusions and Future Work -- References -- Optimization -- Comparison Between Stochastic Gradient Descent and VLE Metaheuristic for Optimizing Matrix Factorization -- 1 Introduction -- 2 Solving-Methods for Matrix Factorization -- 2.1 Stochastic Gradient Descent -- 2.2 Metaheuristics for Solving Optimization Problems -- 3 The Vapour-Liquid Equilibrium Metaheuristic -- 4 Results -- 4.1 Experimental Framework -- 4.2 Performance Comparison -- 5 Conclusions -- References -- A Capacity-Enhanced Local Search for the 5G Cell Switch-off Problem -- 1 Introduction -- 2 Problem Modeling -- 2.1 UDN Modeling -- 2.2 The CSO Problem -- 3 Hybrid MOEAs: The FCSOn Operator -- 3.1 Representation and Genetic Operators -- 3.2 The FCSOn Operator -- 3.3 Hybrid Algorithms NSGA-IIFCSOn y MOCellFCSOn -- 4 Experimentation -- 4.1 Methodology -- 4.2 Results of the HV Indicator -- 4.3 Attainment Surfaces -- 5 Conclusions -- References -- Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time -- 1 Introduction -- 2 Problem Statement and Notation -- 3 Related Works. , 3.1 Complexity Results -- 3.2 Clustering/Selecting Points in Pareto Frontiers -- 4 Intermediate Results -- 4.1 Indexation and Distances in a 2d PF -- 4.2 1-Center in a 2d PF -- 4.3 Optimality of Interval Clustering -- 4.4 Computation of Cluster Costs -- 5 DP Algorithm and Complexity Results -- 5.1 General DP Algorithm -- 5.2 Computing the Lines of the DP Matrix -- 5.3 Linear Memory Consumption -- 5.4 Complexity Results -- 5.5 Towards a Parallel Implementation -- 6 Conclusion and Perspectives -- References -- Security and Games -- A Distributed Digital Object Architecture to Support Secure IoT Ecosystems -- 1 Introduction -- 2 Related Work -- 3 Secure Architecture for IoT Ecosystems -- 3.1 Architecture Principles -- 3.2 Architecture Model -- 3.3 Architecture Implementation -- 4 Conclusions and Further Work -- References -- Checking the Difficulty of Evolutionary-Generated Maps in a N-Body Inspired Mobile Game -- 1 Introduction -- 2 Evolutionary Map Generation Algorithm -- 3 Mobile Application Description -- 4 Results and Discussion -- 5 Conclusions -- References -- A Framework to Create Conversational Agents for the Development of Video Games by End-Users -- 1 Introduction -- 2 Background and Related Works -- 2.1 Game Development Tools -- 2.2 MDE and DSLs for Video Game Development -- 2.3 Chatbots in Modeling and Programming Tasks -- 3 A Framework for Using and Creating Conversational Agents for DSLs -- 3.1 Approach -- 3.2 Implementation -- 3.3 Automated Generation of Conversational Agents -- 4 Case Study -- 5 Conclusions -- References -- Applications -- Breast Cancer Diagnostic Tool Using Deep Feedforward Neural Networkpg and Mother Tree Optimization -- 1 Introduction -- 2 Dataset Description -- 2.1 Data Processing -- 3 Proposed Breast Cancer Diagnosis System -- 3.1 Mother Tree Optimization (MTO) -- 3.2 MTO Algorithm with Climate Change (MTOCL). , 3.3 Particle Swarm Optimization (PSO) -- 4 Experimentation -- 4.1 Performance Evaluation -- 5 Conclusion -- References -- A Mathematical Model for Three-Dimensional Open Dimension Packing Problem with Product Stability Constraints -- 1 Introduction -- 2 Mathematical Models for the Basic 3D-ODRPP -- 2.1 Mathematical Model -- 2.2 Linearization -- 3 Static Stability of Products -- 3.1 The Full Base Support Constraint -- 3.2 Partial Base Support -- 4 Computational Experiments -- 5 Conclusions -- References -- Designing a Flexible Evaluation of Container Loading Using Physics Simulation -- 1 Introduction -- 2 Related Works -- 2.1 Genetic Algorithm -- 2.2 Container Loading with Soft Constraints -- 2.3 Physics Simulation -- 3 Method -- 3.1 Design of Genetic Algorithm -- 3.2 Physics Simulation -- 3.3 Fitness Evaluation -- 4 Experiments -- 4.1 Experiment on Density -- 4.2 Experiment on Move -- 4.3 Experiment on Rotation -- 4.4 Experiment on Stacking Constraint -- 4.5 Experiment on Fragility Constraint -- 4.6 Experiment for Multiple Objectives -- 4.7 Processing Time -- 5 Discussion and Limitations -- 6 Conclusion -- References -- Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach -- 1 Introduction -- 1.1 Preventing an Overloading Incident -- 1.2 Contribution -- 2 Related Work -- 3 Mathematical Model -- 4 Implementation -- 4.1 Linear Transformation -- 4.2 Solving Model -- 5 Evaluation -- 5.1 Dataset and Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusions and Future Work -- References -- Analysis of Data Generated by an Automated Platform for Aggregation of Distributed Energy Resources -- 1 Introduction -- 2 Distributed Energy Resource Management System -- 2.1 Functionalities of the EMP -- 2.2 Smart Management Services -- 3 The Pilot -- 4 Results -- 4.1 Generic Operational Information. , 4.2 Performance Testing.