This book describes recent advances on fuzzy logic, neural networks and 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. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some 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 are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describes diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.
Author(s): Patricia Melin, Oscar Castillo, Janusz Kacprzyk
Series: Studies in Computational Intelligence, 915
Publisher: Springer
Year: 2020
Language: English
Pages: 341
City: Cham
Preface
Contents
Optimization of Fuzzy Logic Controllers with Distributed Bio-Inspired Algorithms
1 Introduction
2 Fuzzy Inference Systems for Control
3 Bioinspired Algorithms
3.1 Genetic Algorithms
3.2 Particle Swarm Optimization
3.3 Other Bioinspired Algorithms
4 Related Work
5 Distributed Bioinspired Algorithms
6 Conclusions
References
Parallel-Machine Scheduling Problem: An Experimental Study of Instances Difficulty and Algorithms Performance
1 Introduction
2 Approaches for Characterization of Instance Difficulty for COPs
3 The Parallel-Machine Scheduling Problem
3.1 R||Cmax benchmark of instances
3.2 Algorithms for the R||Cmax
4 Experimental Study of the Optimization Process of R||Cmax
4.1 Phase 1: Characterization
4.2 Phase 2: Characteristics Refining
4.3 Phase 3: Study of Relations
4.4 Phase 4: Explanations of the Algorithm Behavior
5 Conclusions and Future Research
References
Comparison of Genetic Algorithm and Particle Swarm Optimization of Ensemble Neural Networks for Complex Time Series Prediction
1 Introduction
2 Problem Statement and Proposed Method
2.1 Analyze the Time Series
2.2 Creation of the Ensemble Neural Network
2.3 Type-1 and Type-2 Fuzzy System Integration
2.4 GA Applied for the Optimization of the Fuzzy System
2.5 Optimization of the Fuzzy Systems with PSO
3 Simulation Results
3.1 US Dollar/MX Time Series Prediction Based on the GA
3.2 US Dollar/MX Time Series Prediction for the PSO
4 Comparison of Results
4.1 Statistical T Student Test for the Ensemble Neural Network
4.2 The Best Architecture for the Ensemble Neural Network
5 Conclusions
References
Path Planning by Search Algorithms in Graph-Represented Workspaces
1 Introduction
2 Methodology
2.1 Algorithms Description and Analysis
2.2 Workspace Design
2.3 Experiments
3 Results and Discussion
4 Conclusions and Future Work
References
Evaluation of Deep Learning Algorithms for Traffic Sign Detection to Implement on Embedded Systems
1 Introduction
2 Background and Motivation
2.1 Deep Learning Method for Traffic Sign Detection
2.2 Traffic Sign Detection Database
2.3 Embedded System
3 Proposed Methodology
3.1 Model Selection
3.2 TSD System
3.3 Embedded System
3.4 Evaluation Metrics
3.5 Training and Evaluation
4 Experiments and Results
4.1 Detection in the LISA Dataset
5 Analysis
6 Conclusions and Future Work
References
Performance Comparison of Parallel PSO-GA Algorithm with Dynamic Parameter Adjustment Using Type-1 and Interval Type-2 Fuzzy Systems
1 Introduction
2 Particle Swarm Optimization
3 Genetic Algorithms
4 Parallel PSO-GA Algorithm
5 Fuzzy Logic Systems
6 Experiments and Results
7 Conclusions
References
A Novel Study of the Multi-verse Optimizer and Its Applications on Multiple Areas of Computer Science
1 Introduction
2 Multi-verse Optimizer Algorithm
3 Other Optimization Algorithms
4 Some Applications of MVO
5 Conclusions
References
Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation of the Fuzzy Flower Pollination Algorithm
1 Introduction
2 Fuzzy Logic
2.1 The Origins of Fuzzy Logic
2.2 Type-2 Fuzzy Logic Systems
3 Flower Pollination Algorithm
4 Simulation
4.1 Benchmark Functions
4.2 Results
5 Conclusions
References
A Comparative Study of the Grey Wolf Optimizer and Firefly Algorithm in Mathematical Benchmark Functions of the CEC 15 Competition
1 Introduction
2 Grey Wolf Optimizer Algorithm
3 Firefly Algorithm
4 Simulations Results
5 Conclusions
References
Optimization of Fuzzy Controllers for Autonomous Mobile Robots Using the Stochastic Fractal Search Method
1 Introduction
2 Stochastic Fractal Search (SFS)
3 Methodology
4 Experimentation and Results
5 Conclusions
References
Fuzzy Dynamic Parameter Adaptation for Particle Swarm Optimization of Modular Granular Neural Networks Applied to Time Series Prediction
1 Introduction
2 Basic Concepts
2.1 Modular Neural Networks
2.2 Fuzzy Logic
2.3 Granular Computing
2.4 Particle Swarm Optimization
3 Proposed Method
3.1 Modular Granular Neural Networks Applied to Time Series Prediction
3.2 Description of the Fuzzy Dynamic Parameters Adaptation for Particle Swarm Optimization
3.3 Application to Time Series Prediction
3.4 Description of Mackey-Glass Time Series
4 Experimental Results
4.1 Non-optimized Results
4.2 Optimized Results
4.3 Comparison Results
5 Conclusions
References
Review of Fuzzy Control for Path Tracking in the Robotino System
1 Introduction
2 Kinematic of Robotino
3 Previous Works
4 Analysis of Results
5 Conclusions
References
Optimization of Routes of a Robot Using Bioinspired Algorithms
1 Introduction
2 Particle Swarm Optimization
3 Ant Colony Optimization
4 Traveling Salesman Problem
5 Type-1 Fuzzy Logic
6 Fuzzy Optimization
7 Simulation Results
8 Conclusions
References
Optimal Design of Fuzzy Logic Systems Through a Chicken Search Optimization Algorithm Applied to a Benchmark Problem
1 Introduction
2 Related Works
3 Fuzzy Logic System
3.1 Fuzzy Logic Controllers
4 Chicken Search Optimization
5 Study Case
6 Simulations Results
7 Comparative Results
8 Conclusions
References
Optimization of Fuzzy Trajectory Tracking in Autonomous Mobile Robots Based on Bio-inspired Algorithms
1 Introduction
2 Related Works
3 Basic Concepts of Fuzzy Systems
3.1 Fuzzy Logic System
3.2 Fuzzy Logic Controllers
4 Case Study
5 Bio-inspired Algorithm
5.1 Chicken Search Algorithm
5.2 Bee Colony Optimization
6 Simulation Results
7 Comparative Analysis
8 Statistical Test
9 Conclusions
References
Swarm Intelligence: A Review of Optimization Algorithms Based on Animal Behavior
1 Introduction
2 Literature Review
2.1 Firefly Algorithm
2.2 Ant Colony Optimization
2.3 Particle Swarm Optimization
2.4 Bee Colony Optimization
2.5 Bat Algorithm
3 Applications
3.1 Firefly Applications
3.2 ACO Applications
3.3 PSO Applications
3.4 BCO Applications
3.5 BA Applications
4 Conclusions
References
Optimization of Fuzzy Systems Through Metaheuristics in Control Systems
1 Introduction
2 Literature Review
2.1 Differential Evolution Algorithm and Its Origins
2.2 Initial Population
2.3 Strategy
2.4 Fuzzy Logic
2.5 Inverted Pendulum
2.6 Inverted Pendulum Dynamics
3 Methodology
4 Fuzzy Logic Controller
5 Results and Discussion
6 Conclusions and Future Work
References
Optimal Design of Interval Type-2 Fuzzy Tracking Controllers of Mobile Robots Using a Metaheuristic Algorithm
1 Introduction
2 Shark Smell Optimization (SSO)
2.1 Behavior and Structure of SSO
2.2 Background on SSO
3 Dynamic Setting of Parameters Membership Functions of the Fuzzy Controller with the SSO
3.1 Dynamic Adaptation of Fuzzy Controller Parameters with the Proposed Methodology
3.2 Fuzzy Logic Controller
3.3 Interval Type-2 Fuzzy Logic
4 Study Cases
4.1 Case 1: Benchmark Functions
4.2 Case: Fuzzy Controller of an Autonomous Mobile Robot
5 Simulation Results
5.1 Case 1 Results: Benchmark Functions
5.2 Case 2 Results: Dynamic Adjustment of Fuzzy Controller Parameters
6 Conclusions
References
