We describe in this book, recent developments on fuzzy logic, neural networks and metaheuristic optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. There are papers with the main topics 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 are also papers that present theory and practice of metaheuristics in diverse areas of application. There are interesting papers on different applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. In addition, we can find papers describing applications of fuzzy logic, neural networks and metaheuristics in robotics problems. Another set of papers are presenting theory and practice of neural networks in different areas of application, including convolutional and deep learning neural networks. There are also a group of papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, we can find a set of papers describing applications of fuzzy logic, neural networks and metaheuristics in pattern recognition problems. The papers of the book are organized into six parts that group together papers with similar topics or applications. In conclusion, the edited book comprises papers on diverse aspects of fuzzy logic, neural networks and nature-inspired optimization metaheuristics for designing and implementing hybrid intelligent systems and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. There are theoretical aspects as well as application papers. We expect that the book will serve as reference for researchers and graduate students working in the computational intelligence area.

Preface ⅴ

Automated Medical Diagnosis and Classification of Skin Diseases Using Efficinetnet-BO Convolutional Neural Network 3

Modular Approach for Neural Networks in Medical Image Classification with Enhanced Fuzzy Integration 21

Clustering and Prediction of Time Series for Traffic Accidents Using a Nested Layered Artificial Neural Network Model 37

Ensemble Recurrent Neural Networks and Their Optimization by Particle Swarm for Complex Time Series Prediction 47

Filter Estimation in a Convolutional Neural Network with Type-2 Fuzzy Systems and a Fuzzy Gravitational Search Algorithm 63

Artificial Fish Swarm Algorithm for the Optimization of a Benchmark Set of Functions 77

Hierarchical Logistics Methodology for the Routing Planning of the Package Delivery Problem 93

A Novel Distributed Nature-Inspired Algorithm for Solving Optimization Problems 107

Evaluation and Comparison of Brute-Force Search and Constrained Optimization Algorithms to Solve the N-Queens Problem 121

Performance Comparative Between Single and Multi-objective Algorithms for the Capacitated Vehicle Routing Problem 141

Optimization of a Fuzzy Classifier for Obtaining the Blood Pressure Levels Using the Ant Lion Optimizer 155

Optimization of Fuzzy-Control Parameters for Path Tracking of a Mobile Robot Using Distributed Genetic Algorithms 167

A New Fuzzy Approach to Dynamic Adaptation of the Marine Predator Algorithm Parameters in the Optimization of Fuzzy Controllers for Autonomous Mobile Robots 179

Evaluation of Times and Best Solutions of MFO, LSA and PSO Using Parallel Computing, Fuzzy Logic Systems and Migration Blocks Together to Evaluate Benchmark Functions 205

Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Preliminary Tests for a Parameter Variation Study 223

Symmetric-Approximation Energy-Based Estimation of Distribution (SEED) Algorithm for Solving Continuous High-Dimensional Global Optimization Problems 243

Optimization Models and Methods for Bin Packing Problems: A Case Study on Solving 1D-BPP 265

CMA Evolution Strategy Applied to Optimize Chemical Molecular Clusters MxNz (x + y ≤ 5; M = N or M ≤ N) 281

Specialized Crossover Operator for the Differential Evolution Algorithm Applied to a Car Sequencing Problem with Constraint Smoothing 291

A Brave New Algorithm to Maintain the Exploration/Exploitation Balance 305

A New Optimization Method Based on the Lotka-Volterra System Equations 317

A Comparison of Replacement Operators in Heuristics for CSP Problems 335

Synchronisms Using Reinforcement Learning as an Heuristic 355

A Mathematical Deduction of Variational Minimum Distance in Gaussian Space and Its Possible Application to Artificial Intelligence 381

A Model for Learning Cause-Effect Relationships in Bayesian Networks 395

Eureka-Universe: A Business Analytics and Business Intelligence System 419

Extension of Windowing as a Learning Technique in Artificial Noisy Domains 443

Why Rectified Linear Activation Functions? Why Max-Pooling? A Possible Explanation 459

Localized Learning: A Possible Alternative to Current Deep Learning Techniques 465

What is a Reasonable Way to Make Predictions? 475

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