Melin P., Castillo O., Kacprzyk J. (eds.) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Springer, 2015, -612 p.We describe, in this book, 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.Part I Fuzzy Logic Theory
Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems
Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Sets
Optimization of the Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction: Case of the Mexican Stock Exchange
A New Proposal for a Granular Fuzzy C-Means Algorithm.
Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks
Part II Neural Networks Theory
Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series
Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks
Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis
Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO
Evolution of Kernels for Support Vector Machine Classification on Large Datasets
Part III Neural Networks Applications
Modular Neural Networks for Time Series Prediction Using Type-1 Fuzzy Logic Integration
An Improved Particle Swarm Optimization Algorithm to Optimize Modular Neural Network Architectures
Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures
Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm for Time Series Prediction
A Type-2 Fuzzy Neural Network Ensemble to Predict Chaotic Time Series
Part IV Nature Inspired Optimization
Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior
A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanisms of Plants
Imperialist Competitive Algorithm Applied to the Optimization of Mathematical Functions: A Parameter Variation Study
An Improved Intelligent Water Drop Algorithm to Solve Optimization Problems
An Improved Simulated Annealing Algorithm for the Optimization of Mathematical Functions
Optimization of Reactive Fuzzy Controllers for Mobile Robots Based on the Chemical Reactions Algorithm
Part V Nature Inspired Optimization Applications
Segmentation of Coronary Angiograms Using a Vesselness Measure and Evolutionary Thresholding
Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass
Obtaining Pharmacokinetic Population Models Using a Genetic Algorithm Approach
Parallel Evolutionary Artificial Potential Field for Path Planning — An Implementation on GPU
Design and Acceleration of a Quantum Genetic Algorithm Through the MatLAB GPU Library
Implementing Pool-Based Evolutionary Algorithm in Amazon Cloud Computing Services
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
A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines
Parallel Meta-heuristic Approaches to the Course Timetabling Problem
Simplification of Decision Rules for Recommendation of Projects in a Public Project Portfolio
A Survey of Grey Systems Applied to Multi-objective Problem
An Efficient Representation Scheme of Candidate Solutions for the Master Bay Planning Problem
Verifying the Effectiveness of an Evolutionary Approach in Solving Many-Objective Optimization Problems
Comparative Study on Constructive Heuristics for the Vertex Separation Problem
Part VII Fuzzy Logic Applications
A New Approach for Intelligent Control of Nonlinear Dynamic Plants Using a Benchmark Problem
Fuzzy Pre-condition Rules for Activity Sequencing in Intelligent Learning Environments
A Pre-filtering Based Context-Aware Recommender System using Fuzzy Rules
A Fitness Estimation Strategy for Web Based Interactive Evolutionary Applications Considering User Preferences and Activities Using Fuzzy Logic
Design of a Fuzzy System for Diagnosis of Hypertension
Trajectory Metaheuristics for the Internet Shopping Optimization Problem
Analysis of Some Database Schemas Used to Evaluate Natural Language Interfaces to Databases
Part VIII Fuzzy Logic and Metaheuristics
Cuckoo Search Algorithm via Lévy Flight with Dynamic Adaptation of Parameter Using Fuzzy Logic for Benchmark Mathematical Functions
Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers
Ant Colony Optimization with Parameter Adaptation Using Fuzzy Logic for TSP Problems
An Improved Harmony Search Algorithm Using Fuzzy Logic for the Optimization of Mathematical Functions
A New Algorithm Based in the Smart Behavior of the Bees for the Design of Mamdani-Style Fuzzy Controllers Using Complex Non-linear Plants