Genetic and Evolutionary Computing

Name: Genetic and Evolutionary Computing | Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October 6-8, 2023, Kaohsiung, Taiwan
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Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October 6-8, 2023, Kaohsiung, Taiwan

Jerry Chun-Wei Lin Chin-Shiuh Shieh Mong-Fong Horng Shu-Chuan Chu(Editor)

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Published on 1. February 2024

XV, 559 pages

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Jerry Chun-Wei Lin is currently working as the full Professor at the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published 500+ research papers in refereed journals and is the leader of the well-known SPMF project, which provides more than 190 data mining algorithms and has been widely cited in many different applications (around 900 citation). He is also the founder and the leader of PPSF project. Moreover, he has been awarded as the Most Cited Chinese Researcher in 2018, 2019, 2020, and 2021 by Elsevier/Scopus and Top-2% Scientist in 2019, 2020, 2021, and 2022 respectively by Stanford University. He is the Fellow of IET (FIET), ACM Distinguished Member (Scientist), and IEEE Senior Member.

Chin-Shiuh Shieh received the M.S. degree in Electrical Engineering from the National Taiwan University, Taiwan, in 1991, and the Ph.D. degree in Computer Science and Engineering from National Sun Yat-Sen University, Taiwan, in 2009. In August 1991, he joined the faculty of the Department of Electronic Engineering at the National Kaohsiung University of Science and Technology, Taiwan, where he currently serves as a full professor. His research interests include computer networking, embedded systems, computational intelligence, and information security.

Mong Fong Horng received his B.S., Ms. and Ph.D degrees from National Chiao Tung University and National Cheng Kung University, Taiwan in 1989, 1991 and 2003, respectively. He now is a jointly-appointed professor with the department of Electronics Engineering at National Kaohsiung University of Science and Technology, and Kaohsiung Medical University, Taiwan. Till 2022, Dr. Horng had published 141 academic papers, 6 textbooks, about his research. There are 65 papers indexed by Web of Service (WoS), 116 papers indexed by EI and 125 papers indexed by Scopus. He served as the president of Taiwanese Association of Consumer Electronics (TACE), Chair of Tainan Chapter, IEEE Signal Processing Society and the editorial board member and reviewers of international journals, including Electronics, Information Sciences, Journal of Machine Learning and Cybernetics. Dr. Horng focuses his research interest on Internet of Things, Machine Learning, Computer Networks and Medical Informatics and related industrial cooperation.

Shu-Chuan Chu received a Ph.D. degree in 2004 from the School of Computer Science, Engineering and Mathematics, Flinders University of South Australia. She joined Flinders University in December 2009 after 9 years at the Cheng Shiu University, Taiwan. She has been a Research Fellow and Associate Professor in the College of Science and Engineering of Flinders University, Australia since December 2009. Currently, she is a Research Fellow with a Ph.D. advisor in the College of Computer Science and Engineering of Shandong University of Science and Technology from September 2019. She also serves as an editorial board member for Engineering Applications of Arti?cial Intelligence (EAAI), Journal of Internet Technology (JIT) and Research Reports on Computer Science (RRCS). Her research interests are mainly in Evolutionary Computation, Intelligent Computing, Information Hiding and Wireless Sensor Networks.

Content

Intro
Preface
Organization
Contents
Analysis on the Influence of Regional Agricultural Planting Factors on Grain Yield Based on Genetic Feedback Process Neural Network
1 Introduction
2 Time Series Analysis Model Based on Genetic Feedback Process Neural Network
2.1 Feedback Process Neural Network
2.2 Genetic Algorithm
2.3 Time Series Analysis by Hybrid Genetic Feedback Process Neural Network
3 Influence Model of Regional Agricultural Planting Factors on Grain Yield Based on Genetic Feedback Process Neural Network
3.1 Data Description
3.2 Data Preprocessing
3.3 Experiment Details
3.4 Result Analysis
4 Conclusion
References
Analysis of the Coordination of Highway Network in Urban Agglomerations Based on Fractal Theory
1 Introduction
2 Fractal Model
3 A Fractal Coordination Index Model for Highway Network Planning in Urban Agglomerations
4 Example Analysis
4.1 Data Pre-processing for Typical Urban Agglomerations
4.2 Radius Fractal Dimensions of Typical Urban Agglomerations
4.3 Quantitative Analysis of Coordination
5 Conclusion
References
Path Planning Based on YOLOX and Improved Dynamic Window Approach
1 Introduction
2 YOLOX Algorithm
3 Improvement of Dynamic Window Approach
3.1 Dynamic Window Approach (DWA)
3.2 Improved Dynamic Window Approach
4 Simulation Experiment
5 Conclusion
References
The Role of Reputation-Aspiration in the Evolution of Cooperation
1 Introduction
2 Model
3 Results and Discussion
4 Conclusion
References
A New Membrane Algorithm Based on Quasi-Affine TRansformation Evolution for Optimization Problems
1 Introduction
2 Related Work
2.1 Membrane System
2.2 QUATRE
3 MA-QUATRE
4 Experiment
4.1 CEC2022
4.2 Engineering Design Problems
5 Conclusion
References
UAV Path Planning Based on Improved QUATRE Algorithm in Different Environments
1 Introduction
2 Improved QUATRE Algorithm
2.1 QUATRE Algorithm
2.2 QUATRE-DEG Algorithm
3 UAV Path Planning
4 Conclusion
References
A Hybrid Algorithm ACS-GA for Solving the Traveling Salesman Problem
1 Introduction
2 Metaheuristic Algorithms
2.1 Genetic Algorithm
2.2 Ant Colony System
2.3 Tabu Search
3 A Hybrid Algorithm for TSP
4 Experiment and Result Analysis
4.1 Running Environment and Parameters
4.2 Experiment Result
5 Conclusion
References
WS-Miner: A Fast Weighted Sequential Pattern Mining Algorithm
1 Introduction
2 Preliminaries and Problem Formulation
3 Proposed WS-Miner Algorithm
4 Experimental Evaluation Analysis
4.1 Description of Datasets
4.2 Projection Optimization Test
4.3 Performance Comparison Analysis
5 Conclusions
References
Exploring the Integration of Neural Networks in Quality-Oriented Education for Undergraduates: Evolutionary Computing-Based Personalized Learning Path Recommendation
1 Introduction
2 Personalized Learning Path Recommendation
2.1 CNN-Based Feature Extraction
2.2 Knowledge Graph Construction
2.3 Difficulty Classification of Course Key Concepts
2.4 Learner Model
3 Experiment and Results Analysis
3.1 Data Setup
3.2 Performance Analysis
4 Conclusion
References
Evaluation of Deep Clustering for Assessing Undergraduate Understanding in Ideological and Political Education: Data-Driven Analytics
1 Introduction
2 Methodology
3 Experiment and Results Analysis
3.1 Setup
3.2 Comparison Analysis
4 Conclusion
References
Lightweight Dialog State Tracking Methods Based on RoBERTa for Resource Constrained Dialog Systems
1 Introduction
2 Related Work
3 Proposed Model
3.1 Problem Formalization
3.2 Model Overview
3.3 Model Building
3.4 Multi-classification Network
4 Experiments
4.1 Datasets and Evaluation
4.2 Experimental Settings
4.3 Experimental Results
5 Discussion
6 Conclusion
References
An ETC Missed Transaction Data Restoration Approach for Expressways Considering Multiple Scenario Features
1 Introduction
2 Related Work
3 Methodology
3.1 Data Analysis
3.2 Feature Engineering
3.3 Framework
4 Experiment
4.1 Ablation Experiments
4.2 Comparison Experiment
5 Conclusion
References
Emotional Visualization Analysis Based on Online Book User Comments
1 Introduction
2 Methodology
2.1 Research Data
2.2 Specific Procedures Based on Research Objectives
3 Experiment and Results Analysis
3.1 Experimental Results of TF-IDF Algorithm Model
3.2 Word Cloud Generation
3.3 N-gram Feature Extraction
4 Conclusion
References
Multi-scale Convolution Kernels and Residual Components for Deciduous Leaves Detection
1 Introduction
2 Variant Convolution Kernels and Residual Components Detector
2.1 Yolo V5 Detector
2.2 Four Yolo V5 Network Modules
3 Model Training and Experimental Results
3.1 Model Training and Cost
3.2 Preliminary Experimental Results
4 Conclusion and Future Works
References
Yolo V3 for Market MBFVS Food Materials Detection
1 Introduction
2 YOLO v3 Network Structure
2.1 Yolo V3 Detector
2.2 Yolo V3 Improvement
3 Dataset for MBFVS Food Materials
4 Experimental Results and Analysis
5 Conclusion and Future Works
References
Parallel and Distributed MOEA/D with Virtual Overlapping Zone and Exclusively Evaluated Mating
1 Introduction
2 Research Background
2.1 Constrained Multi-objective Optimization
2.2 Conventional Parallel and Distributed MOEA/D
2.3 Simple Parallel MOEA/D
3 MOEA/D with Virtual Overlapping Zone and Exclusively Evaluated Mating
3.1 Virtual Overlapping Zone
3.2 Exclusively Evaluated Mating
4 Evaluation
4.1 Experimental Method
4.2 Experimental Results and Discussion
5 Conclusion
References
A Study on the Application of Immersive Technology in the Art Exhibition 'Exploring Shan Hai Jing'
1 Introduction
2 Immersive Technology and Human Behavior
2.1 The Concept of Immersive Technology
2.2 Necessary Conditions for Generating Immersive Experiences
3 Case Study- Immersive Exhibition 'Exploring Shan Hai Jing'
3.1 Trend
3.2 Content
3.3 Space
3.4 Technologies
3.5 Audience
4 Conclusion
4.1 Extension of Space
4.2 Coherence in Content and Technology
4.3 Coherence in the Task Set and Visitor's Competences
References
Research on Value-Added Evaluation of University Teachers Based on University Functions
1 Research Background
2 Concept Definition
2.1 Evaluation
2.2 Value-Added Evaluation
2.3 Teacher Value-Added Evaluation
3 Current Research Status at Home and Abroad
3.1 Foreign Related Research
3.2 Relevant Domestic Research
4 Advantages of Value-Added Evaluation of College Teachers
4.1 Fairness
4.2 Promote Teachers' Attention to Students
4.3 Promoting the Self-development of Teachers
5 Construction of a Value-Added Evaluation Model for University Teachers
6 Research Methods
7 Summary
References
The Implementation of the Graduation Thesis Topic Selection
1 The analysis of demand
1.1 The analysis of administrator's Demand
1.2 The analysis of teacher's demand
1.3 The analysis of students' demand
1.4 Preliminary design
2 The Design of Database
3 The Design and Implementation
3.1 The Design and Implementation of Login Interface
3.2 The Design and Implementation of the Administrator Module Interface
3.3 The Design and Implementation of Teacher Module Interface
3.4 The Design and Implementation of Student Module Interface
4 Software Testing
4.1 Testing Content
4.2 Test Cases
5 Conclusion
References
Class Incremental Learning Method for Hyperspectral Images Based on Real Data Playback Mechanism and Classification Network Optimization
1 Introduction
2 Related Work
2.1 Hyperspectral Image Classification
2.2 Class Incremental Learning
3 Methodology
3.1 Proposed Framework
3.2 Data Preprocessing
3.3 EWC Algorithm
3.4 Classification Network
3.5 Real Data Playback Optimization Mechanism
4 Experiments
4.1 Experimental Data
4.2 The Setting of Scenarios
4.3 Evaluation Index
4.4 Experimental Results and Analysis
5 Conclusion
References
Student-t Process Prior Variational Autoencoder for Anomaly Detection in Time Series
1 Introduction
2 Background
2.1 Variational Autoencoder
2.2 Student-t Process
3 Our Approach
3.1 Encode Time Information
3.2 SPPVAE
3.3 Inference
3.4 Test Sample Predictions
3.5 Optimization
4 Experiment
4.1 Experiment on KPI Data
4.2 Experiment on Yahoo Network Traffic Data
4.3 Experiment on Financial Data
5 Conclusion
References
Modeling of Drama Performance Intelligent Evaluation Driven by Multimodal Data
1 Introduction
2 Related Works
2.1 The Perspective of Performance Method
2.2 The Perspective of Performance Cognition
2.3 The Perspective of Performance Computable
3 Materials and Methods
3.1 Framework of Drama Performance Intelligent Evaluation
3.2 Multimodal Evaluation Feature Extraction
3.3 Multimodal Evaluation Feature Fusion
3.4 Drama Stylization Annotation
3.5 Drama Performance Evaluation Model (DPEM)
4 Results and Discussion
4.1 Experiment Data Description
4.2 Experiment Results Analysis
5 Conclusions
References
Deep Learning-Based Speed Limit Information Recognition
1 Introduction
2 Literature Review
2.1 Research on Speed Limit Information Recognition
2.2 Research on Multi-label Classification Methods
3 Methodology
3.1 Construction of Speed Limit Information Feature Vector
3.2 TabNet Algorithm
4 Experiment
4.1 Data Introduction
4.2 Experimental Results
5 Conclusion
References
Vehicle Identification Model of Expressway Service Area Based on ETC Transaction Data
1 Research Background
2 Vehicle Identification Model Content of Expressway Service Area Based on ETC Transaction Data
3 Implementation of Vehicle Identification Model in Expressway Service Area Based on ETC Transaction Data
4 Forecast of Traffic Flow into the Service Area Based on ETC Data
4.1 Estimated Historical Traffic Flow into the Service Area
References
Pattern Mining Local Search Heuristics for Dynamic Pickup Delivery Problems
1 Introduction
2 Related Works
3 Problem Definition
4 Pattern Mining Based Local Search
5 Results
5.1 Experiments
5.2 Problem Structure
6 Conclusions and Future Work
References
Hierarchy Affective Knowledge Enhanced Emotion Recognition Model
1 Introduction
2 Text Emotion Recognition
3 Methodology
3.1 Semantic Information Module
3.2 Emotion Hierarchy Knowledge Module
3.3 Knowledge Fusion Module
4 Experiments
4.1 Experimental Setup
4.2 Performance Comparison of Emotion Recognition Models
5 Conclusions
References
Application of Genetic Algorithm to Optimize Bicycle Lighting Order Scheduling Taking Company E as an Example
1 Introduction
2 Literature Review
2.1 Scheduling Problem
2.2 Genetic Algorithm
2.3 Analytic Hierarchy Process
2.4 Taguchi Method
3 Research Methodology
3.1 Genetic Algorithm
3.2 Analytic Hierarchy Process
3.3 Taguchi Methods
4 Results and Discussion
4.1 AHP Results
4.2 Taguchi Methods Results
4.3 Finial Results
5 Conclusions and Future Prospects
References
Research on the Application of Taguchi Theory to Verify the Improved Bamboo Forest Growth Optimization Algorithm
1 Introduction
1.1 Research Background
1.2 Research Motivation
2 Literature Review
2.1 Bamboo Forest Growth Optimization Algorithm
2.2 Bamboo Forest Optimization Algorithm Mathematical Modeling
3 Research Methodology
3.1 Research Methodology Framework
3.2 Mutation Rate Strategy
3.3 Taguchi Method Experiment
3.4 Taguchi Experimental Design
4 Experimental Results
5 Conclusion and Recommendations
5.1 Conclusion
5.2 Future Prospects
References
Integrating Virtual and Real System Platforms Based on IIoT Technology - A Case Study of PLC and Automation Studio
1 Introduction
1.1 Research Background and Motivation
2 Literature Review
2.1 CPS
2.2 Industrial Internet of Things
2.3 OPC DA/UA
3 Research Methodology
3.1 Modeling of PLC Control System
3.2 Automation Studio® Virtual Control System Modeling
3.3 OPC UA Communication Module
4 Result
5 Conclusions and Suggestions
References
Automobiles Driving Data Recording Method Based on Internet of Vehicles and Blockchain Technologies
1 Introduction
2 A Brief Review of Hyperledger Fabric
2.1 Contents of Hyperledger Distributed Ledger
2.2 Contents of Hyperledger Library
2.3 Hyperledger Tools
2.4 Domain-Specific Hyperledger
3 OBD Driving Data
4 Smart Contracts
5 Digital Signature Cryptography Technical Description
6 Experimental Results
7 Conclusion
Bibliography
Binary Growth Optimizer: For Solving Feature Selection Optimization Problems
1 Introduction
2 Growth Optimizer
2.1 The GO Process
3 Binary Growth Optimizer
3.1 Transfer Function
4 Experimental Results and Analysis
4.1 Experimental Settings
4.2 Experimental Results
5 Conclusions
References
A New Coati Optimization Algorithm for Binary Optimization
1 Introduction
2 The Original Coati Optimization Algorithm
2.1 Phrase 1: Attack Iguana
2.2 Phrase 2: Escape from the Predator
3 The Proposed Binary Coati Optimization Algorithm
4 Experimental and Analysis
5 Conclusion
References
Bamboo Forest Growth Optimization Algorithm for Night Image Enhancement
1 Introduction
2 Related Work
2.1 BFGO
2.2 Image Enhancement
3 Experiment and Analysis
3.1 Comparison of BFGO on 23 Test Functions
3.2 Application in the Image Enhancement
4 Conclusion
References
Generalization of Relay Node Deployment Problem for Wireless Sensor Network on jMetal
1 Introduction
2 Preliminary and Background
3 Generalization Framework
3.1 Terrain Environment and Node Distribution
3.2 Channel Path Loss Model and Energy Consumption
3.3 WSN Problem and Solution Generalization
3.4 Experimental Example
4 Conclusion
References
Application and Effectiveness Evaluation of BP Neural Network Model Based on Rafflesia Optimization Algorithm Optimization in Daily Average Temperature Prediction
1 Introduction
2 Rafflesia Optimization Algorithm
2.1 First Stage Attracts Insects
2.2 Second Stage Swallowing Insects
2.3 Third Stage Seed Dissemination
3 Experiments and Applications
3.1 Applications
3.2 Experiments
4 Result
5 Conclusion
References
Overview of Reversible Data Hiding for JPEG Images
1 Introduction
2 The Third Category
2.1 Preliminary
2.2 Huang et al.'s Method
2.3 Wedaj et al.'s Method
2.4 Li et al.'s Method
2.5 Xiao et al.'s Method
2.6 Weng et al.'s Method
References
Structural Analysis of Contact System of High-Voltage DC Relay Under Electrical-Thermal-Structural Coupling
1 Introduction
2 Analysis of Contact System Model
2.1 Processing of Working State Models for Contact Systems
2.2 Mechanical Analysis of Contact Systems
2.3 Mathematical Model for Thermal Field Calculation of Contact System
3 The Electrical-Thermal-Structural Coupling Simulation Model Was Established
3.1 Electric Field Simulation Setting
3.2 Steady-State Temperature Field Simulation Setting
3.3 Structure Field Simulation Setting
4 Simulation Results and Analysis
4.1 Simulation Results of Steady-State Temperature Field of Contact System
4.2 Simulation Results of Contact System Structural Field
5 Conclusion
References
Research on the Structure Design of Body Clothing for Elderly Women
1 Introduction
2 Anthropometric Data Analysis
2.1 Data Collection of Old-Aged Female in Xiamen Area
2.2 Descriptive Statistic
2.3 Correlation Analysis
2.4 Factorial Analysis
3 Analysis of Body Shape of Elderly Women in Xiamen
4 Structural Design of Upper Garment for Elderly Women in Xiamen Area
4.1 Correction of Personal Station
4.2 Experimental Process
4.3 Experimental Explanation
5 Conclusion
References
Gannet Optimizer-Based Clustering Scheme for Wireless Sensor Networks
1 Introduction
2 Related Works
3 Preliminaries
3.1 Energy Model
3.2 Fitness Function
4 Performance Evaluation
4.1 The Life Cycle of WSN
4.2 The Amount of Messages Received by BS and CH
4.3 Energy Change of Sensor Networks
5 Conclusion
References
Parallel Artificial Rabbits Optimization Algorithm for Image Watermarking
1 Introduction
2 Related Work
2.1 Artificial Rabbits Optimization Algorithm
2.2 DWT and NSST
2.3 Schur Decomposition
3 Proposed Algorithms
3.1 Parallel Artificial Rabbits Optimization Algorithm
3.2 NSST-DWT-Schur Watermarking Algorithm
3.3 PARO Optimizes the Embedding Factor
4 Experiment
4.1 PARO Algorithm Performance Test
4.2 Invisibility Test
4.3 Robustness Test
5 Conclusion
References
Robust Target Detection and Localization for UAV Autonomous Landing with Partially Occluded Targets
1 Introduction
2 Proposed Method
2.1 AR Landing Target Design
2.2 Target Detection and Localization with AR Markers
3 Experiments
3.1 Target Detection and Localization Accuracy Experiment
3.2 Target Completion Effectiveness Experiment
4 Conclusion
References
Image Captioning with Global Information Enhanced Image Representation
1 Introduction
2 Proposed Method
2.1 Global Information Enhancement Module
2.2 Transformer Encoder with Positional Encoding
2.3 Objectives
3 Experiments
3.1 Datasets and Metrics
3.2 Experimental Settings
3.3 Performance Comparison
3.4 Ablative Analysis
4 Conclusion
References
Analysis of Half-Space Acoustic Radiation in 3D Based on Fast Multipole Boundary Element Method
1 Introduction
2 CBEM for Half Space Acoustic Radiation Problems in 3D
3 The Fast Multipole Method for Half-Space Acoustic Radiation Problems in 3D
4 Numerical Results
5 Conclusion
References
A Parallel Slime Mould Algorithm with Boundary Rebound and Knowledge-Sharing Mechanism
1 Introduction
2 Slime Mould Algorithms
2.1 Foraging Behaviour of Slime Moulds
2.2 Mathematical Modeling of SMA
3 Improved Slime Mould Algorithms
3.1 Parallel Mechanisms
3.2 Knowledge-Sharing Mechanism
3.3 Boundary Rebound
4 Experiment
4.1 Benchmark Function
4.2 The Performance of the Improved Slime Mould Algorithm
5 Conclusions
References
Design Technology of Multi-AGV Warehouse Intelligent Scheduling Optimization Control System
1 Preface
2 Warehouse Layout and Assumptions
2.1 Warehouse Layout Description
2.2 Assumptions of Relevant Operating Rules and Parameter Notation
3 Problem Description
4 Scheduling Optimization Based on the Algorithm of Time Window
4.1 Modeling
4.2 Task Priority Design
4.3 Task Decomposition
4.4 Task Flow Sequencing Rules
4.5 Transfer Waiting Problem
4.6 Conflict Identification and Conflict Identification Resolution
4.7 Task Scheduling Optimization
5 System Application Results
6 Conclusion
References
Recent Evolutionary Computing Algorithms and Industrial Applications: A Review
1 Introduction
2 ECAs Review
2.1 Overview of Evolutionary Computing
2.2 Evolutionary Computing Algorithms
3 Industrial Applications with ECAs
4 Challenges in Industrial Applications
4.1 Comparative Analysis
4.2 Challenges and Future Directions
5 Conclusion
References
Intellectual Property Protection of Image Processing Models with Watermarking
1 Introduction
2 Related Works
3 Proposed Method
3.1 Main Idea
3.2 Watermark Embedding
3.3 Ownership Verification
4 Experiments
4.1 Implementation Details
4.2 Fidelity
4.3 Integrity
4.4 Robustness
5 Conclusion
References
SE(3)-Diffusion: An Equivariant Diffusion Model for 3D Point Cloud Generation
1 Introduction
2 Related Work
2.1 Deep Learning for 3D Shape
2.2 Deep Generative Model for Point Cloud
3 Methods
3.1 Equivariant Modeling and Optimization
3.2 Equivariant Diffusion Model
4 Experiments
5 Conclusion
References
Multi-objective Wolf Pack Algorithm Based on Random Scouting and Hierarchical Learning
1 Introduction
2 Related Work
2.1 Multi-objective Optimization Problem
2.2 Wolf Pack Algorithm
2.3 Levy-Flight
3 Multi-objective Wolf Pack Algorithm Based on Random Scouting and Hierarchical Learning
3.1 Random Scouting
3.2 Hierarchical Learning
3.3 Renewal Mechanism
3.4 Algorithm Process
4 Experimental Results and Analysis
5 Conclusion
References
An Optimal Power System Operation Planning Based on Enhanced Cuckoo Search Algorithm
1 Introduction
2 Literature Review
2.1 Economic Load Dispatch Problem
2.2 Cuckoo Search Algorithm
3 Enhanced Cuckoo Search Algorithm
4 Experimental Results
5 Conclusion
References
Dynamic Detection of Multi-forked Tree Gantry Anomaly Based on Isolated Forest Algorithm
1 Introduction
2 Literature Review
3 Methodology
3.1 Overview of the Overall Framework
3.2 Construction of Time-Domain Models for Road Segments
3.3 Dynamic Path Selection Based on Topological Road Network
3.4 Dynamic Multivariate Tree Anomaly Detection Algorithm Based on Isolation Forest Algorithm
4 Experiment
4.1 Fault Detection Results
4.2 Evaluation Metrics
4.3 Algorithm Performance Comparison
5 Conclusions
References
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Genetic and Evolutionary Computing

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