Hybrid Intelligent Systems based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

ISBN-13: 9783031289989 / Angielski

Oscar Castillo; Patricia Melin

Opis

In this book, recent theoretical developments on fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are considered in application areas such as intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction, and optimization of complex problems. Nowadays, the main topics of the book are highly relevant, as most current intelligent systems and hardware implementations in use utilize some form of intelligent feature to enhance their performance. In addition, theoretically speaking, new and advanced models, and algorithms of type-2 fuzzy logic are presented, which will be of great interest to researchers in these areas. Also, novel nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript that are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.

Spis treści

CONTENTS

PART I Neural Networks

A decision-making approach based on multiple neural networks for clustering and prediction of time series

Martha Ramirez and Patricia Melin

Approximation of Physicochemical Properties based on a Mes-sage Passing Neural Network Approach

Leonardo Velazquez-Ruiz, Graciela Ramirez-Alonso, Fernando Gaxiola, Javier Camarillo-Cisneros, Daniel Espinobarro, Alain Man-zo-Martinez

Ensemble Recurrent Neural Networks and its Optimization with Bird Swarm Algorithm

Martha Pulido and Patricia Melin

Convolutional Neural Networks for Multiclass Classification of Masks

Alexis Campos, Patricia Melin, Daniela Sánchez

Quanvolutional Neural Network applied to MNIST

Daniel Alejandro Lopez, Oscar Montiel, Miguel Lopez-Montiel, Moises Sanchez-Adame and Oscar Castillo

Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks

Cesar Torres, Claudia I. Gonzalez, and Gabriela E. Martinez

PART II Optimization

Fuzzy dynamic adaptation of an Artificial Fish Swarm Algo-rithm for the Optimization of Benchmark Functions

Leticia Amador-Angulo, Patricia Ochoa, Cinthia Peraza, Oscar Cas-tillo

Particle Swarm Optimization Algorithm with Improved Opposi-tion-Based Learning (IOBL-PSO) to Solve Continuous Problems

Miguel Á. García-Morales, Héctor J. Fraire-Huacuja, José A. Bram-bila-Hernández, Juan Frausto-Solís, Laura Cruz-Reyes, Claudia G. Gómez-Santillán and Juan M. Carpio-Valadez

Study on the effect of chaotic maps in the formation of new uni-verses in the Multiverse Optimizer algorithm

Lucio Amézquita, Oscar Castillo, José Soria and Prometeo Cortes-Antonio

Performance comparative of surrogate models as fitness func-tions for metaheuristic algorithms

David Bolaños-Rojas, Jorge A. Soria-Alcaraz, Andrés Espinal, Marco A. Sotelo-Figueroa

A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithm

Hector Carreon-Ortiz, Fevrier Valdez, Oscar Castillo

Optimal Tuning of an Active Disturbance Rejection Controller using a Particle Swarm Optimization algorithm

Olga L. Jimenez Morales, Diego Tristan Rodrıguez, Ruben Garrido and Efren Mezura-Montes

PART III Fuzzy Logic

Optimization of Fuzzy Controllers using Distributed Bioinspired Methods with Random parameters

Alejandra Mancilla, Oscar Castillo, Mario García-Valdez

Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset

José Fernando Padrón-Tristán, Laura Cruz-Reyes, Rafael A. Espin-Andrade, Claudia Guadalupe Gómez Santillán and Carlos Eric Llorente-Peralta

Comparison of the effect of parameter adaptation in bio-inspired CS algorithm using Type-2 Fuzzy Logic

Maribel Guerrero, Fevrier Valdez, Oscar Castillo

Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: some case studies

Carlos Eric Llorente-Peralta, Laura Cruz-Reyes, Rafael Alejandro Espín-Andrade, José Fernando Padron-Tristan

A new selection and class prediction using type-1 fuzzy logic ap-plied to a convolutional neural network

Yutzil Poma, Patricia Melin

Relaxed Differential Evolution Algorithm

Prometeo Cortés-Antonio, Arturo Téllez-Velázquez, Raúl Cruz-Barbosa, Oscar Castillo 

PART IV Optimization: Theory and Applications

Automatic Characterization of Time Series Using Metaheuristic Algorithms for Epidemics Spread Analysis

Valentín Calzada-Ledesma, Andrés Espinal

Comparative study of heuristics for the One-dimensional Bin Pa-cking Problem

Jessica González-San-Martín, Laura Cruz-Reyes, Claudia Gómez-Santillán, Héctor Fraire, Nelson Rangel-Valdez, Bernabé Dorronsoro and Marcela Quiroz-Castellanos

Experimental Evaluation of Adaptive Operators Selection Methods for the Dynamic Multiobjective Evolutionary Algorithm Based on Decomposition (DMOEA/D)

José A. Brambila-Hernández, Miguel Á. García-Morales, Héctor J. Fraire-Huacuja, Armando Becerra del Angel, Eduardo Villegas-Huerta, Ricardo Carbajal-López

Automated Machine Learning to improve stock-market forecast-ing using PSO and LSTM networks

Francisco J Pedroza-Castro, Alfonso Rojas-Domínguez, Martín Carpio

Evolutionary Gaussian-Gradient: A new optimization algorithm for the electromechanical design of gravitational batteries

Juan de Anda-Suárez, Felipe J. Flores-Calva, Daniel Jiménez-Mendoza, Germán Pérez-Zúñiga 

A comparison between selection operators heuristics of perturba-tion in CSP

Lucero Ortiz-Aguilar, Hernández-Aguirre Yeovanna, M. Benitez, Sergio Rodriguez-Miranda and Fernando Mendoza-Vazquez

PART V Hybrid Intelligent Systems

Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Feedback Control Techniques

Victor D. Cruz, Jesus A. Rodriguez, Luis T. Aguilar, and Roger Mi-randa Colorado

An Evolutionary Bilevel Optimization Approach for Neuroevolu-tion

Rocío Salinas-Guerra, Jesús-Adolfo Mejía-Dios, Efrén Mezura-Montes, Aldo Márquez-Grajales

Recovering from population extinction in the Animal Life Cycle Algorithm (ALCA)

J. C. Felix-Saul, Mario Garcia Valdez

Multi-objective optimization through coevolution and outranking methods with uncertainty management

Lorena Rosas-Solórzano, Claudia Gomez-Santillan, Nelson Rangel-Valdez, Eduardo Fernández, Laura Cruz-Reyes, Lucila Morales-Rodriguez and Hector Fraire-Huacuja

EDA Experimental Proposal with Mallows Distribution applied to the Mixed No-idle Permutation Flowshop Scheduling problem

E.M. Sánchez Márquez, M. Ornelas-Rodríguez, H. J. Puga-Soberanes, Ricardo Pérez, Martin Carpio

Interval Type-3 Fuzzy Decision Making in Material Surface Quality Control

Oscar Castillo, Patricia Melin

Interval Type-3 Fuzzy Decision Making in Quality Evaluation for Speaker Manufacturing

Patricia Melin, Oscar Castillo

Blurb

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.