Springer, 2023. — 489 p. — (Studies in Computational Intelligence 1096). — ISBN: 978-3-031-28999-6.
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 is a group of papers with the main theme of type-1 and type-2 fuzzy logic, which consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There is 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. Some papers present the theory and practice of neural networks in different application areas. In addition, some papers offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there is a group of papers describing applications of fuzzy logic, neural networks, and meta-heuristics in pattern recognition and classification problems.
Neural NetworksA Decision-Making Approach Based on Multiple Neural Networks for Clustering and Prediction of Time Series.
Approximation of Physicochemical Properties Based on a Message Passing Neural Network Approach.
Convolutional Neural Networks for Multiclass Classification of Masks.
Convolutional Neural Network Applied to MNIST.
Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks.
OptimizationFuzzy Dynamic Adaptation of an Artificial Fish Swarm Algorithm for the Optimization of Benchmark Functions.
Particle Swarm Optimization Algorithm with Improved Opposition-Based Learning (IOBL-PSO) to Solve Continuous Problems.
Study on the Effect of Chaotic Maps in the Formation of New Universes in the Multiverse Optimizer Algorithm.
Performance Comparative of Surrogate Models as Fitness Functions for Metaheuristic Algorithms.
A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithm.
Optimal Tuning of an Active Disturbance Rejection Controller Using a Particle Swarm Optimization Algorithm.
Fuzzy LogicOptimization of Fuzzy Controllers Using Distributed Bioinspired Methods with Random Parameters.
Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset.
Comparison of the Effect of Parameter Adaptation in Bio-inspired CS Algorithm Using Type-2 Fuzzy Logic.
Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: Some Case Studies.
A New Selection and Class Prediction Using Type-1 Fuzzy Logic Applied to a Convolutional Neural Network.
Relaxed Differential Evolution Algorithm.
Optimization: Theory and ApplicationsAutomatic Characterization of Time Series Using Metaheuristic Algorithms for Epidemics Spread Analysis.
Comparative Study of Heuristics for the One-Dimensional Bin Packing Problem.
Experimental Evaluation of Adaptive Operators Selection Methods for the Dynamic Multiobjective Evolutionary Algorithm Based on Decomposition (DMOEA/D).
Automated Machine Learning to Improve Stock-Market Forecasting Using PSO and LSTM Networks.
Evolutionary Gaussian-Gradient: A New Optimization Algorithm for the Electromechanicall Design of Gravitational Batteries.
A Comparison Between Selection Operators Heuristics of Perturbation in CSP.
Hybrid Intelligent SystemsTrajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Feedback Control Techniques.
An Evolutionary Bilevel Optimization Approach for Neuroevolution.
Recovering from Population Extinction in the Animal Life Cycle Algorithm (ALCA).
Multi-objective Optimization Through Coevolution and Outranking Methods with Uncertainty Management.
Experimental Proposal with Mallows Distribution Applied to the Mixed No-Idle Permutation Flowshop Scheduling Problem.
Interval Type-3 Fuzzy Decision-Making in Material Surface Quality Control.
Interval Type-3 Fuzzy Decision-Making in Quality Evaluation for Speaker Manufacturing.