Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

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.

Table of Contents

Part I Fuzzy Logic Theory
Chapter 1 Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems
Chapter 2 Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Sets
Chapter 3 Optimization of the Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction: Case of the Mexican Stock Exchange
Chapter 4 A New Proposal for a Granular Fuzzy C-Means Algorithm
Chapter 5 Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks

Part II Neural Networks Theory
Chapter 6 Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series
Chapter 7 Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks
Chapter 8 Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis
Chapter 9 Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO
Chapter 10 Evolution of Kernels for Support Vector Machine Classification on Large Datasets

Part III Neural Networks Applications
Chapter 11 Modular Neural Networks for Time Series Prediction Using Type-1 Fuzzy Logic Integration
Chapter 12 An Improved Particle Swarm Optimization Algorithm to Optimize Modular Neural Network Architectures
Chapter 13 Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures
Chapter 14 Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm for Time Series Prediction
Chapter 15 A Type-2 Fuzzy Neural Network Ensemble to Predict Chaotic Time Series

Part IV Nature Inspired Optimization
Chapter 16 Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior
Chapter 17 A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanisms of Plants
Chapter 18 Imperialist Competitive Algorithm Applied to the Optimization of Mathematical Functions: A Parameter Variation Study
Chapter 19 An Improved Intelligent Water Drop Algorithm to Solve Optimization Problems
Chapter 20 An Improved Simulated Annealing Algorithm for the Optimization of Mathematical Functions
Chapter 21 Optimization of Reactive Fuzzy Controllers for Mobile Robots Based on the Chemical Reactions Algorithm

Part V Nature Inspired OptimizationApplications
Chapter 22 Segmentation of Coronary Angiograms Using a Vesselness Measure and Evolutionary Thresholding
Chapter 23 Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass
Chapter 24 Obtaining Pharmacokinetic Population Models Using a Genetic Algorithm Approach
Chapter 25 Parallel Evolutionary Artificial Potential Field for Path Planning—An Implementation on GPU
Chapter 26 Design and Acceleration of a Quantum Genetic Algorithm Through the Matlab GPU Library
Chapter 27 Implementing Pool-Based Evolutionary Algorithm in Amazon Cloud Computing Services
Chapter 28 An Ant Colony Algorithm for Solving the Selection Portfolio Problem, Using a Quality-Assessment Model for Portfolios of Projects Expressed by a Priority Ranking

Part VI Optimization: Theory and Applications
Chapter 29 A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines
Chapter 30 Parallel Meta-heuristic Approaches to the Course Timetabling Problem
Chapter 31 Simplification of Decision Rules for Recommendation of Projects in a Public Project Portfolio
Chapter 32 A Survey of Grey Systems Applied to Multi-objective Problem
Chapter 33 An Efficient Representation Scheme of Candidate Solutions for the Master Bay Planning Problem
Chapter 34 Verifying the Effectiveness of an Evolutionary Approach in Solving Many-Objective Optimization Problems
Chapter 35 Comparative Study on Constructive Heuristics for the Vertex Separation Problem

Part VII Fuzzy Logic Applications
Chapter 36 A New Approach for Intelligent Control of Nonlinear Dynamic Plants Using a Benchmark Problem
Chapter 37 Fuzzy Pre-condition Rules for Activity Sequencing in Intelligent Learning Environments
Chapter 38 A Pre-filtering Based Context-Aware Recommender System using Fuzzy Rules
Chapter 39 A Fitness Estimation Strategy for Web Based Interactive Evolutionary Applications Considering User Preferences and Activities Using Fuzzy Logic
Chapter 40 Design of a Fuzzy System for Diagnosis of Hypertension
Chapter 41 Trajectory Metaheuristics for the Internet Shopping Optimization Problem
Chapter 42 Analysis of Some Database Schemas Used to Evaluate Natural Language Interfaces to Databases

Part VIII Fuzzy Logic and Metaheuristics
Chapter 43 Cuckoo Search Algorithm via L00E9vy Flight with Dynamic Adaptation of Parameter Using Fuzzy Logic for Benchmark Mathematical Functions
Chapter 44 Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers
Chapter 45 Ant Colony Optimization with Parameter Adaptation Using Fuzzy Logic for TSP Problems
Chapter 46 An Improved Harmony Search Algorithm Using Fuzzy Logic for the Optimization of Mathematical Functions
Chapter 47 A New Algorithm Based in the Smart Behavior of the Bees for the Design of Mamdani-Style Fuzzy Controllers Using Complex Non-linear Plants