Advances in Soft Computing

Table of Contents

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   Book Overview
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   Chapter 1 Normality from Monte Carlo Simulation for Statistical Validation of Computer Intensive Algorithms
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   Chapter 2 Are Android Smartphones Ready to Locally Execute Intelligent Algorithms?
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   Chapter 3 Large Scale Reasoning Using Allen’s Interval Algebra
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   Chapter 4 Towards the Distributed Logic Programming of Intelligent Visual Surveillance Applications
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   Chapter 5 An Efficient Expert System for Diabetes with a Bayesian Inference Engine
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   Chapter 6 iEnsemble: A Framework for Committee Machine Based on Multiagent Systems with Reinforcement Learning
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   Chapter 7 Exploring Complex Networks with Failure-Prone Agents
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   Chapter 8 On the Conception of Intelligent Power Plants Based on Multiple Agent Systems
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    Chapter 9 Author Profiling with Doc2vec Neural Network-Based Document Embeddings
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    Chapter 10 Neural Network Modelling for Dissolved Oxygen Effects in Extensive Litopenaeus Vannamei Culture
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    Chapter 11 Neural-Network Based Algorithm for Algae Detection in Automatic Inspection of Underwater Pipelines
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    Chapter 12 Study on the Development of Complex Network for Evolutionary and Swarm Based Algorithms
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    Chapter 13 Estimation of Distribution Algorithms Based on the Beta Distribution for Bounded Search Spaces
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    Chapter 14 Automated Analog Synthesis with an Estimation of the Distribution Algorithm
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    Chapter 15 Mathematical Model of Glucose Metabolism by Symbolic Regression $$\alpha $$ $$\beta $$
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    Chapter 16 Jensen Inequality with Subdifferential for Sugeno Integral
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    Chapter 17 Towards a More General XCS: Classifier Fusion and Don’t Cares in Actions
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    Chapter 18 A Novel Artificial Hydrocarbon Networks Based Value Function Approximation in Hierarchical Reinforcement Learning
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    Chapter 19 Wind Power Forecasting for the Villonaco Wind Farm Using AI Techniques
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    Chapter 20 Predicting the Need of Mechanical Ventilation in Guillain-Barré Patients Using Machine Learning Algorithms with Relevant Features
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    Chapter 21 A Robust Machine Learning Approach to Microprocessor Instructions Identification
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    Chapter 22 Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data
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    Chapter 23 Consensus Clustering for Binning Metagenome Sequences
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    Chapter 24 Algorithm for Clustering of Web Search Results from a Hyper-heuristic Approach
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    Chapter 25 Clustering Business Process Models Based on Multimodal Search and Covering Arrays
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    Chapter 26 A New Method to Optimize Dynamic Environments with Global Changes Using the Chickens-Hen’ Algorithm
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    Chapter 27 Transit Network Frequencies-Setting Problem Solved Using a New Multi-Objective Global-Best Harmony Search Algorithm and Discrete Event Simulation
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    Chapter 28 Optimal Pricing Model: Case of Study for Convenience Stores
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    Chapter 29 Method of Musical Composition for the Portfolio Optimization Problem
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    Chapter 30 Metaheuristic Hybridized Applied to Solve the Capacity Vehicle Routing Problem
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    Chapter 31 ABC-PSO: An Efficient Bioinspired Metaheuristic for Parameter Estimation in Nonlinear Regression
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    Chapter 32 Data Mining in EEG Wave Trains in Early Stages of Parkinson’s Disease
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    Chapter 33 Data Mining in the Analysis of Ocean-Atmosphere Dynamics in Colombia’s Central Caribbean Ocean
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    Chapter 34 Molecular Docking Based on Ligand by Complexity LMC
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    Chapter 35 Integrating Information of Films by a Multi-source Combining Framework
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    Chapter 36 Computing the Clique-Width of Polygonal Tree Graphs
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    Chapter 37 A New Approach to Weakening and Destruction of Malicious Internet Networks
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    Chapter 38 Toward Optimal Pedagogical Action Patterns by Means of Partially Observable Markov Decision Process
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    Chapter 39 Data-Driven Construction of a Student Model Using Bayesian Networks in an Electrical Domain
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    Chapter 40 Strategic Learning Meta-model: A Selection Model of Learning Activities
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    Chapter 41 CodeTraining: An Authoring Tool for a Gamified Programming Learning Environment
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    Chapter 42 Generating a Logical Structure for Virtualizing Physiotherapy Instructions Through NLP
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    Chapter 43 Building a Corpus and a Local Binary Pattern Recognizer for Learning-Centered Emotions
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    Chapter 44 Affective Learning System for Algorithmic Logic Applying Gamification