Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization (Studies in Computational Intelligence Book 601)

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques. Front Matter....Pages i-xii Front Matter....Pages 1-1 Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems....Pages 3-11 Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Sets....Pages 13-25 Optimization of the Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction: Case of the Mexican Stock Exchange....Pages 27-45 A New Proposal for a Granular Fuzzy C-Means Algorithm....Pages 47-57 Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks....Pages 59-70 Front Matter....Pages 71-71 Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series....Pages 73-87 Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks....Pages 89-101 Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis....Pages 103-117 Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO....Pages 119-126 Evolution of Kernels for Support Vector Machine Classification on Large Datasets....Pages 127-137 Front Matter....Pages 139-139 Modular Neural Networks for Time Series Prediction Using Type-1 Fuzzy Logic Integration....Pages 141-154 An Improved Particle Swarm Optimization Algorithm to Optimize Modular Neural Network Architectures....Pages 155-162 Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures....Pages 163-169 Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm for Time Series Prediction....Pages 171-184 A Type-2 Fuzzy Neural Network Ensemble to Predict Chaotic Time Series....Pages 185-195 Front Matter....Pages 197-197 Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior....Pages 199-210 A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanisms of Plants....Pages 211-218 Imperialist Competitive Algorithm Applied to the Optimization of Mathematical Functions: A Parameter Variation Study....Pages 219-232 An Improved Intelligent Water Drop Algorithm to Solve Optimization Problems....Pages 233-239 An Improved Simulated Annealing Algorithm for the Optimization of Mathematical Functions....Pages 241-251 Front Matter....Pages 197-197 Optimization of Reactive Fuzzy Controllers for Mobile Robots Based on the Chemical Reactions Algorithm....Pages 253-266 Front Matter....Pages 267-267 Segmentation of Coronary Angiograms Using a Vesselness Measure and Evolutionary Thresholding....Pages 269-289 Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass....Pages 291-303 Obtaining Pharmacokinetic Population Models Using a Genetic Algorithm Approach....Pages 305-317 Parallel Evolutionary Artificial Potential Field for Path Planning—An Implementation on GPU....Pages 319-332 Design and Acceleration of a Quantum Genetic Algorithm Through the Matlab GPU Library....Pages 333-345 Implementing Pool-Based Evolutionary Algorithm in Amazon Cloud Computing Services....Pages 347-355 An Ant Colony Algorithm for Solving the Selection Portfolio Problem, Using a Quality-Assessment Model for Portfolios of Projects Expressed by a Priority Ranking....Pages 357-373 Front Matter....Pages 375-375 A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines....Pages 377-389 Parallel Meta-heuristic Approaches to the Course Timetabling Problem....Pages 391-417 Simplification of Decision Rules for Recommendation of Projects in a Public Project Portfolio....Pages 419-429 A Survey of Grey Systems Applied to Multi-objective Problem....Pages 431-439 An Efficient Representation Scheme of Candidate Solutions for the Master Bay Planning Problem....Pages 441-453 Verifying the Effectiveness of an Evolutionary Approach in Solving Many-Objective Optimization Problems....Pages 455-464 Comparative Study on Constructive Heuristics for the Vertex Separation Problem....Pages 465-474 Front Matter....Pages 475-475 A New Approach for Intelligent Control of Nonlinear Dynamic Plants Using a Benchmark Problem....Pages 477-487 Fuzzy Pre-condition Rules for Activity Sequencing in Intelligent Learning Environments....Pages 489-495 A Pre-filtering Based Context-Aware Recommender System using Fuzzy Rules....Pages 497-505 A Fitness Estimation Strategy for Web Based Interactive Evolutionary Applications Considering User Preferences and Activities Using Fuzzy Logic....Pages 507-516 Design of a Fuzzy System for Diagnosis of Hypertension....Pages 517-526 Front Matter....Pages 475-475 Trajectory Metaheuristics for the Internet Shopping Optimization Problem....Pages 527-536 Analysis of Some Database Schemas Used to Evaluate Natural Language Interfaces to Databases....Pages 537-551 Front Matter....Pages 553-553 Cuckoo Search Algorithm via Lévy Flight with Dynamic Adaptation of Parameter Using Fuzzy Logic for Benchmark Mathematical Functions....Pages 555-571 Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers....Pages 573-592 Ant Colony Optimization with Parameter Adaptation Using Fuzzy Logic for TSP Problems....Pages 593-603 An Improved Harmony Search Algorithm Using Fuzzy Logic for the Optimization of Mathematical Functions....Pages 605-615 A New Algorithm Based in the Smart Behavior of the Bees for the Design of Mamdani-Style Fuzzy Controllers Using Complex Non-linear Plants....Pages 617-637 This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as,℗lintelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques