New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

Preface
About This Book
Contents
Fuzzy Logic
Fuzzy Adaptation of Parameters in a Multi-swarm Particle Swarm Optimization (PSO) Algorithm Applied to the Optimization of a Fuzzy Controller
	1 Introduction
	2 Proposal
	3 Use Case
	4 Results
	5 Conclusions and Future Work
	References
Fuzzifying Intrusion Detection Systems with Modified Artificial Bee Colony and Support Vector Machine Algorithms
	1 Introduction
	2 Methodology
	3 Literature Review
		3.1 Finding Promising IDS Architectures
		3.2 Testing Data Sets
		3.3 Comparing Papers
	4 Preliminaries
		4.1 Fuzzy Artificial Bee Colony Algorithm
		4.2 Intuitionistic Fuzzy Twin Support Vector Machine
		4.3 Combined Classification Process
	5 Fuzzy Architecture
		5.1 Feature Extraction and Normalization
		5.2 Feature Selection
		5.3 Classification
		5.4 Classifier Training process
	6 Results and Discussion
	7 Further Research
	References
Type-2 Mamdani Fuzzy System Optimization for a Classification Ensemble with Black Widow Optimizer
	1 Introduction
	2 Basic Concepts and Background
		2.1 Type-1 and Type-2 Fuzzy Systems
		2.2 Black Widow Optimizer
		2.3 Ensemble of Neural Networks
	3 Proposed Methodology
		3.1 Medical Images
	4 Experimental Results
	5 Conclusions
	References
Towards Designing Interval Type-3 Fuzzy PID Controllers
	1 Introduction
	2 PID Control
	3 Fuzzy PID Control
	4 Proposal for Type-3 Fuzzy PID Control
	5 Illustrative Example
	6 Conclusions
	References
Neural Networks
Classification of Consumption Level in Developing Countries for Time Series Prediction Using a Hierarchical Nested Artificial Neural Network Method
	1 Introduction
	2 Case Study
	3 Methodology
	4 Experiments and Results
	5 Conclusions
	References
Computer Aided Diagnosis for COVID-19 with Quantum Computing and Transfer Learning
	1 Introduction
	2 Fundamentals
		2.1 Convolutional Neural Network
		2.2 Transfer Learning
		2.3 Quantum Computing
	3 Methods
		3.1 Dataset
		3.2 Model Architecture
		3.3 Quantum Convolutional Preprocessing
		3.4 Metrics
	4 Experiments and Results
	5 Conclusion and Future Work
	References
Prescribed-Time Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Robust Control Techniques
	1 Introduction
	2 Trajectory Generation
	3 Kinematic Model and Control Design
	4 Numerical Results
	5 Conclusion
	References
Generative Models for Class Imbalance Problem on BreakHis Dataset: A Case Study
	1 Introduction
	2 Background
		2.1 Generative Models
		2.2 Discriminative Models
	3 Methodology
	4 Results and Statistical Analysis
		4.1 Generated Images
		4.2 Classification Metrics Results
		4.3 Statistical Analysis
	5 Conclusions and Future Work
	References
Prediction Using a Fuzzy Inference System in the Classification Layer of a Convolutional Neural Network Replacing the Softmax Function
	1 Introduction
	2 Literature Review
		2.1 The Convolutional Neural Networks or CNN
		2.2 The Softmax Function
	3 Proposed Method
	4 Results and Discussion
	5 Conclusions
	References
Optimization
Optimization of Lithium‐Ion Batteries Using Boltzmann Metaheuristics Systems: Towards a Green Artificial Intelligence
	1 Introduction
	2 Methodology
		2.1 Lithium-Ion Model
		2.2 Lithium Battery in Boltzmann System
	3 Boltzmann Optimization Algorithm
	4 Results
		4.1 Experimental Stup
		4.2 Optimization of a Lithium Battery by BOA
	5 Conclusions
	References
Novel Decomposition-Based Multi-objective Evolutionary Algorithm Using Reinforcement Learning Adaptive Operator Selection (MOEA/D-QL)
	1 Introduction
	2 Adaptive Operator Selection
		2.1 Probability-Based
		2.2 Based on Multi-armed Bandits
	3 Adaptive Operator Selection Based on Dynamic Thompson Sampling (DYTS)
		3.1 Credit Assignment
		3.2 Operator Selection Mechanism
	4 Reinforcement Learning
		4.1 Q-learning
	5 Proposed MOEA/D-QL Algorithm
		5.1 Choose an Action
		5.2 Take an Action
		5.3 Get Reward
	6 Update Q Table
		6.1 Set of Available Actions
	7 Computational Experiments
	8 Results
		8.1 Hypervolume
		8.2 Generalized Spread
		8.3 Inverted Generational Distance
	9 Conclusions
	References
Multiobjective Particle Swarm Optimization for the Hydro–Thermal Power Scheduling Problem
	1 Introduction
	2 Dynamic Multiobjective Optimization Problem Definitions
	3 Problem Formalization
		3.1 Objective Functions
		3.2 Constraints
		3.3 Case Study
	4 Solution Methodology
		4.1 Multiobjective Particle Swarm Optimization
		4.2 Initial Feasible Solutions
		4.3 Mutation Operator
		4.4 Constraint Handling
	5 Computational Experience
	6 Conclusions and Further Work
	References
Comparative Analysis of Metaheuristic Algorithms for Standard Dynamic Multiobjective Optimization Problems
	1 Introduction
	2 Dynamic Multiobjective Optimization Problem Definitions
	3 FDA Test Suite
		3.1 FDA1
		3.2 FDA2
		3.3 FDA3
		3.4 FDA4
		3.5 FDA5
	4 Metaheuristics for DMOPs
		4.1 DNSGA–II
		4.2 DSPEA–II
	5 Computational Experience
		5.1 Experimental Design
		5.2 Experimental Results
	6 Conclusions and Further Work
	References
Hypervolume Indicator as an Estimator for Adaptive Operator Selection in an On-Line Multi-objective Hyper-heuristic
	1 Introduction
	2 Relevant Concepts
		2.1 On-Line Hyper-heuristic
		2.2 Adaptive Operator Selection
		2.3 MOEA/D-DRA
		2.4 Hypervolume Indicator
	3 Methodology
		3.1 High-Level MOEA/D-DRA Strategy
		3.2 HyperVolume Indicator as an Operator Quality Metric
	4 Experiments
		4.1 Test Problems
		4.2 Algorithms and Parameter Settings
	5 Results and Discussion
	6 Conclusions
	References
Metaheuristics: Theory and Applications
A New Breeding Crossover Approach for Evolutionary Algorithms
	1 Introduction
	2 Proposal
		2.1 Crossover Proposal
	3 Experiments
		3.1 Experimental Configuration
		3.2 Experimental Results
	4 Discussion
	5 Conclusions
	References
Dragonfly Algorithm for Benchmark Mathematical Functions Optimization
	1 Introduction
	2 Nature Inspiration
	3 Study of the Literature
	4 Dragonfly Algorithm (DA)
	5 Results and Comparison
	6 Conclusions
	References
Fuzzy Dynamic Adaptation of a Whale Algorithm for the Optimization of Benchmark Functions
	1 Introduction
	2 Related Works
	3 Whale Optimization Algorithm
	4 Original WOA
	5 Surround Prey
	6 Bubble-Net Attacking Method (Exploitation Phase)
	7 Search for Prey (Exploration Phase)
	8 Fuzzy Whale Optimization Algorithm
	9 Sets of Benchmark Functions
	10 Experimental Results
	11 Analysis of the Results
	12 Conclusions
	References
A New Variant of the Multiverse Optimizer Using Multiple Chaotic Maps and Fuzzy Logic for Optimization in CEC-2017 Benchmark Suite
	1 Introduction
	2 Multiverse Optimizer and Variants
	3 Fuzzy Chaotic Multiverse Optimizer and Chaotic Maps
	4 Comparison
	5 Conclusions
	References
A Comparison of Single-Based Versus Population-Based Search Algorithms in the Optimization of Fuzzy Systems
	1 Introduction
	2 Optimization Algorithms
		2.1 Generalized Pattern Search
		2.2 Simulated Annealing Algorithm
		2.3 Genetic Algorithm
		2.4 Particle Swarm Optimization
	3 Fuzzy System Optimization
		3.1 Mamdani Fuzzy Systems
		3.2 Design and Optimization of a Mamdani Fuzzy System
	4 Testing and Results
	5 Conclusions and Future Work
	References
Applications of Intelligent Systems
A Comprehensive Review of Task Scheduling Problem in Cloud Computing: Recent Advances and Comparative Analysis
	1 Introduction
	2 Cloud Computing: Importance, Classification and Architecture
	3 Task Scheduling Problem
	4 Task Scheduling Algorithms and Performance Metrics
		4.1 Performance Metrics
		4.2 Heuristic Techniques
		4.3 Metaheuristic Techniques
	5 Relevant Optimization Approaches
	6 Comparison of Results
		6.1 Instances
		6.2 Results
	7 Conclusion
	References
Routing Design Methodology for Collaborative Robots in the Car Painting Process Using Perturbative Heuristics
	1 Introduction
	2 Related Work
		2.1 Car Painting Problem
		2.2 Collaborative Robotic Problem
		2.3 Health Risks During the Car Painting Process
		2.4 Optimization Techniques Applied to Collaborative Robotic Car-Painting Problem (CRCP)
	3 Background
		3.1 Collaborative Robotic Problem
		3.2 Car Sequencing Problem
		3.3 Car-Painting Problem
		3.4 Collaborative Robotic Car- Painting Problem (CRCP)
		3.5 Heuristics and Metaheuristics
	4 Methodology
	5 Results
		5.1 Heuristics Results
	6 Conclusions and Future work
	References
Building an Open-Source Hydronic Heating System Simulator
	1 Introduction
	2 Proposal
		2.1 HydronicPy
		2.2 Simulator Thermal Dynamics
		2.3 Simulator Core Models
	3 Experiments
	4 Conclusions
	References
Analyzing the Impact of the Low Level Heuristics of a Hyperheuristic for the Master Bay Planning Problem
	1 Introduction
	2 Hyperheuristic
		2.1 Low Level Heuristics
	3 Proposed Methodology
	4 Experiments and Results
		4.1 Imput Data
		4.2 Implementation
		4.3 Results Analysis
	5 Conclusions and Future Work
	References
Computational Optimization of Water Resources Management Through Evolutionary Computing: An Approach Based on the Transportation Problem
	1 Introduction
	2 Background
		2.1 Water Resources
		2.2 The Transportation Problem
		2.3 Grammatical Evolution
	3 Proposal
		3.1 Mathematical Model Based on the Transportation Problem
		3.2 Water Resources Optimization Through GE
	4 Experimental Design
		4.1 Parameter Configuration
	5 Analysis and Discussion of Results
		5.1 Discussion
	6 Conclusions and Future Work
	References
Hybrid Intelligent Systems
Analysis of the Impact Using Pre-emphasis Filter, Unvoiced Sounds, Frame Size and Feature Vector Size on Human Emotion Recognition by Voice and Machine Learning
	1 Introduction
	2 Related Work
	3 Theoretical Background
		3.1 Mel Frequency Cepstral Coefficients
		3.2 Relative Spectral MFCC (RASTA-MFCC)
		3.3 Multiband Spectral Entropy Signature
		3.4 Multilayer Perceptrons
		3.5 Support Vector Machines
		3.6 K-Nearest Neighbors
	4 Theoretical Background
		4.1 EMOVO Database
		4.2 EMODB Database
	5 Pre-processing of the Emotion Signals
		5.1 Removing Unvoiced Sounds
	6 Experiments
		6.1 Machine Learning Algorithms Setup
		6.2 Experiment with Different Size of Feature Vector
		6.3 Experiment with Different Size of Frame
		6.4 Experiment Without Unvoiced Sounds
	7 Experiments
		7.1 Distribution of Audio Files in the EMODB and EMOVO Databases
		7.2 Results Considering Unvoiced Sounds and Different Size of the Feature Vector
		7.3 Results Considering Unvoiced Sounds and Different Size of Frame
		7.4 Results Ruling Out Unvoiced Sounds and Different Size of the Feature Vector
		7.5 Results Ruling Out Unvoiced Sounds and Different Size of Frame
	8 Conclusions
	References
Experimental Design Method to Finetune Cooperative Coevolutionary Algorithms Solving Multiobjective Problems
	1 Introduction
	2 Background
		2.1 Coevolutive Algorithm
		2.2 Coevolutive Cooperative Algorithm
		2.3 General Structure of a Cooperative Coevolutionary Algorithm
		2.4 Coevolutionary Division Strategies
		2.5 Definition of Parameter Setting
	3 Proposed Approach
	4 Experimentation and Results
		4.1 Borda Analysis Using the Friedman Test
	5 Conclusions
	References
Comparative Analysis of Dimensionality Reduction Techniques Applied to Disease Classification Tasks
	1 Introduction
	2 Backgrounds
		2.1 Principal Component Analysis
		2.2 Autoencoder
		2.3 Genetic Algorithm-Based Dimensional Reduction
		2.4 K-Nearest Neighbors
	3 Experimental Setup
		3.1 Methodology
		3.2 Description of the Disease Dataset
	4 Results
	5 Conclusions and Future Work
	References
Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning
	1 Formulation of the Problem
	2 Possible Explanation
		2.1 Plan
		2.2 Towards an Explanation: First Step
		2.3 Towards an Explanation: Final Step
	References
Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation
	1 Formulation of the Problem
	2 Our Explanation
	References