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

Chapter 1 A Decision-Making Approach Based on Multiple Neural Networks for Clustering and Prediction of Time Series

Chapter 2 Approximation of Physicochemical Properties Based on a Message Passing Neural Network Approach

Chapter 3 Convolutional Neural Networks for Multiclass Classification of Masks

Chapter 4 Quanvolutional Neural Network Applied to MNIST

Chapter 5 Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks

Chapter 6 Fuzzy Dynamic Adaptation of an Artificial Fish Swarm Algorithm for the Optimization of Benchmark Functions

Chapter 7 Particle Swarm Optimization Algorithm with Improved Opposition-Based Learning (IOBL-PSO) to Solve Continuous Problems

Chapter 8 Study on the Effect of Chaotic Maps in the Formation of New Universes in the Multiverse Optimizer Algorithm

Chapter 9 Performance Comparative of Surrogate Models as Fitness Functions for Metaheuristic Algorithms

Chapter 10 A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithm

Chapter 11 Optimal Tuning of an Active Disturbance Rejection Controller Using a Particle Swarm Optimization Algorithm

Chapter 12 Optimization of Fuzzy Controllers Using Distributed Bioinspired Methods with Random Parameters

Chapter 13 Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset

Chapter 14 Comparison of the Effect of Parameter Adaptation in Bio-inspired CS Algorithm Using Type-2 Fuzzy Logic

Chapter 15 Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: Some Case Studies

Chapter 16 A New Selection and Class Prediction Using Type-1 Fuzzy Logic Applied to a Convolutional Neural Network

Chapter 17 Relaxed Differential Evolution Algorithm

Chapter 18 Automatic Characterization of Time Series Using Metaheuristic Algorithms for Epidemics Spread Analysis

Chapter 19 Comparative Study of Heuristics for the One-Dimensional Bin Packing Problem

Chapter 20 Experimental Evaluation of Adaptive Operators Selection Methods for the Dynamic Multiobjective Evolutionary Algorithm Based on Decomposition (DMOEA/D)

Chapter 21 Automated Machine Learning to Improve Stock-Market Forecasting Using PSO and LSTM Networks

Chapter 22 Evolutionary Gaussian-Gradient: A New Optimization Algorithm for the Electromechanical Design of Gravitational Batteries

Chapter 23 A Comparison Between Selection Operators Heuristics of Perturbation in CSP

Chapter 24 Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Feedback Control Techniques

Chapter 25 An Evolutionary Bilevel Optimization Approach for Neuroevolution

Chapter 26 Recovering from Population Extinction in the Animal Life Cycle Algorithm (ALCA)

Chapter 27 Multi-objective Optimization Through Coevolution and Outranking Methods with Uncertainty Management

Chapter 28 Experimental Proposal with Mallows Distribution Applied to the Mixed No-Idle Permutation Flowshop Scheduling Problem

Chapter 29 Interval Type-3 Fuzzy Decision Making in Material Surface Quality Control

Chapter 30 Interval Type-3 Fuzzy Decision Making in Quality Evaluation for Speaker Manufacturing