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دانلود کتاب Genetic and Evolutionary Computing: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, October 21-23, 2021, ... Notes in Electrical Engineering, 833)

دانلود کتاب محاسبات ژنتیکی و تکاملی: مجموعه مقالات چهاردهمین کنفرانس بین المللی محاسبات ژنتیکی و تکاملی ، 21-23 اکتبر 2021 ، ... یادداشت ها در مهندسی برق ، 833)

Genetic and Evolutionary Computing: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, October 21-23, 2021, ... Notes in Electrical Engineering, 833)

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Genetic and Evolutionary Computing: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, October 21-23, 2021, ... Notes in Electrical Engineering, 833)

ویرایش:  
نویسندگان: , , ,   
سری:  
ISBN (شابک) : 9811684294, 9789811684296 
ناشر: Springer 
سال نشر: 2022 
تعداد صفحات: 754
[736] 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 70 Mb 

قیمت کتاب (تومان) : 59,000



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در صورت تبدیل فایل کتاب Genetic and Evolutionary Computing: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, October 21-23, 2021, ... Notes in Electrical Engineering, 833) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.

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فهرست مطالب

Preface
Conference Organization
	Conference Founder
	Honorary Chairs
	Advisory Committee Chairs
	General Chairs
	Program Chairs
	Local Organization Chairs
	Electronic Media Chairs
	Invited Session Chairs
	Publication Chair
	Finance Chair
	Program Committee Members
Contents
Nature Inspired Constrained Optimization
Adaptive Droop Control Strategy for Island Microgrid Based on Improved Particle Swarm Optimization Algorithm
	1 Introduction
	2 Traditional Droop Control
	3 Improved Particle Swarm Algorithm
		3.1 Basic Particle Swarm Algorithm
		3.2 Introduction of Fuzzy Rule System
		3.3 Fitness Function
	4 Simulation Analysis
		4.1 System Control Structure and Parameter Design
		4.2 Simulation Results
	5 Conclusion
	References
Coordinated Optimization Control Technology of Clean Energy Consumption Based on Spatiotemporal Characteristics of Controllable Load
	1 Introduction
	2 Space Time Characteristics of EV (Electric Vehicle)
		2.1 Spatial Characteristics Modeling of EV Travel
		2.2 Time Characteristics Modeling of EV Travel
		2.3 Monte Carlo Algorithm
		2.4 Mathematical Model of Orderly Charging for EVs
	3 Case Analysis
		3.1 Case 1 When the Number of EVs in the Community is 500
		3.2 Case 2 When the Number of EVs in the Community is 1000
	4 Conclusion
	References
A Beta Distribution Based Optimization Algorithm and Its Application in Power Load Forecasting
	1 Introduction
	2 Related Works
		2.1 Mathematical Model of EDAs
		2.2 Beta Distribution
	3 The Proposed Novel Optimization
	4 Experimental Analysis and Application
		4.1 Numerical Experiment
		4.2 Application in Load Forecasting
	5 Conclusion
	References
Optimization of Li-ion Battery Charge and Discharge Model Based on Genetic Algorithm
	1 Introduction
	2 Optimization Algorithm
		2.1 Constant Current Constant Voltage Optimization Algorithm
		2.2 Multistage Current Charging Optimization Algorithm
	3 Charging Process Optimized by Genetic Algorithm
		3.1 Genetic Algorithm
		3.2 Optimization of Charging Parameters by Genetic Algorithm
	4 Programming
	5 Simulation
	6 Conclusion
	References
An Enhanced Harmony Search Based on Quantum Mechanism
	1 Introduction
	2 Harmony Search Algorithm
	3 Enhanced Harmony Search with Quantum Mechanism
	4 Experimental Section
		4.1 Effectiveness of QEHS
		4.2 Scalability Study
		4.3 Comparison with Other HS Variants
		4.4 Comparison with Other Algorithms
	5 Conclusion and Future Work
	References
Performance Evaluation of Three Intelligent Optimization Algorithms for Obstacle Avoidance Path Planning
	1 Introduction
	2 Path Planning for Obstacle Avoidance
		2.1 Problem Formulation
		2.2 An Optimization Model for Obstacle Avoidance Path Planning
	3 Three Intelligent Optimization Algorithms
		3.1 Genetic Algorithm
		3.2 Wolf-Pack Algorithm
		3.3 A Mixture Method of Wolf-Pack and Genetic Algorithms
	4 Numerical Experiments
		4.1 Effect of Varying the Problem Scale
		4.2 Effect of Varying the Population Size
		4.3 Discussion of Three Solution Algorithms
	5 Conclusions
	References
Software Development and Reliability Systems
Experimental Data Acquisition and Processing System Based on the Internet of Things
	1 Introduction
	2 MQTT Protocol
	3 Data Acquisition System Design
		3.1 Cloud Platform Selection
		3.2 Private Cloud Server to Build Data Collection Platform
		3.3 Data Collection Platform Based on AL Cloud IoT Platform
	4 Experiments
	5 Conclusion
	References
A Mill Control System Based on GA-BP Network for Output Prediction
	1 Introduction
	2 Introduction of Mill Control System
	3 Model Construction of BP Neural Network Optimized Based on Genetic Algorithm
		3.1 Introduction to BP Neural Network
		3.2 Optimized BP Network Based on Genetic Algorithm
	4 Simulation Results and Analysis
	5 Conclusion
	References
State Evaluation and Attack Signal Reconstruction of Power Cyber-Physics System Based on Intermediate Variable Observer
	1 Introduction
	2 System Description and Problem Statement
	3 Design of the Intermediate Variable Observer
		3.1 Introduction of Intermediate Variable Observer
		3.2 Stability Analysis
	4 Simulation Results
		4.1 System Setup
		4.2 Simulation Results
	5 Conclusion
	References
Risk Assessment Method of Power Monitoring System Vulnerability Based on Attack Graph
	1 Introduction
	2 Attack Graph
		2.1 The Concept of Attack Graph
	3 Common Vulnerability Scoring System Framework
		3.1 Base Score
		3.2 Life Cycle Score
		3.3 Environmental Score
	4 Attack Graph Model
		4.1 Establish Attack Path and Attack Graph Model
		4.2 Definition of Dependency
	5 Experiment Analysis
	6 Conclusions
	References
Dynamic Multiple Indicators Matching Processing for Power Load Forecasting System
	1 Introduction
	2 Related Work
	3 Power Load Forecasting System Design
	4 Adjustable-Gaussian Process Regression (A-GPR) Model
		4.1 Multi-indicator Dynamic Matching Algorithm
		4.2 Real-Time Adaptive A-GPR Model
	5 Discussion and System Implementation
	6 Conclusion
	References
Design of Cyber Security Monitoring System for Smart Substation
	1 Introduction
	2 Related Work
		2.1 IEC 61850 Standard
		2.2 Communication Protocol Analysis
		2.3 SCD File Analysis
	3 Cross-Layer Data Association Method for Operation Instruction
		3.1 Technical Analysis
		3.2 Algorithm Implement
	4 Substation Cyber Security Audit System
		4.1 System Framework
		4.2 System Deployment
	5 Conclusion
	References
Bioinformatics and Biomedical Analysis
Multi-attention and Multi-layer Hashing for Cross-Modal Retrieval
	1 Introduction
	2 Proposed Method
		2.1 Problem Definition
		2.2 Feature Extraction
		2.3 Hash Learning
	3 Experiment
		3.1 Datasets
		3.2 Experiment Details
		3.3 Experiment Result
	4 Conclusion
	References
Quantitative Analysis Indicators and Risk Factor Assessment of HR-HPV
	1 Introduction
	2 Related Work
		2.1 HPV and Cervical Cancer Screening
		2.2 HPV Vaccination
		2.3 Risk Factors of HR-HPV Infection
	3 Our Study
		3.1 Purpose and Significances of the Study
		3.2 Content of the Study
		3.3 Key Technologies and Difficulties
		3.4 Methods
	4 Discussion
	5 Conclusion
	References
Prediction of Drug-Gene Interaction by Using Biomedical Subgraph Patterns
	1 Introduction
	2 Methods
		2.1 Preprocessing
		2.2 Subgraph Feature Generation
		2.3 Classification
	3 Experiment and Results
		3.1 Data
		3.2 Evaluation Metrics
		3.3 Results
	4 Conclusion
	References
Medical Phrase Mining Method for Biomedical Text Processing
	1 Introduction
	2 Related Work
	3 Motivation
	4 Context-Frequency-Based (CFB) Algorithm
		4.1 Candidate Phrases
		4.2 Phrase Feature
		4.3 Classifier
		4.4 Update Frequency
	5 Experiment
	6 Conclusions
	References
BioBERT Based Efficient Clustering Framework for Biomedical Document Analysis
	1 Introduction
	2 Experimental Framework
		2.1 Text Data Pre-processing
		2.2 Vector Representations and Clustering Techniques
		2.3 Evaluation Metrics
	3 Experimental Results
	4 Conclusion and Future Work
	References
Distantly Supervised Relation Extraction Based on Multi-head Self-attention and Gate Mechanism
	1 Introduction
	2 Proposed Method
		2.1 Entity-Aware Embedding
		2.2 PCNN with Multi-head Self-attention Mechanism
		2.3 Gate Mechanism
		2.4 Bag Representation
		2.5 Loss Function
	3 Experiments
		3.1 Datasets, Evaluation Criteria and Parameters Settings
		3.2 Baseline Models
		3.3 Comparison with Traditional Methods
		3.4 Ablation Experiment
	4 Conclusion
	References
Image and Video Processing
Research on Small Target Pedestrian Detection Algorithm Based on Improved YOLOv3
	1 Introduction
	2 YOLOv3 Target Detection Algorithm
		2.1 YOLOv3 Network Structure Configuration
		2.2 Anchor Frame Calculation
	3 Improve the Construction of YOLOv3 Network Model
		3.1 Multi-layer Feature Fusion Module
		3.2 SENet Structure
		3.3 DIoU Loss Loss Function
	4 Experiment and Result Analysis
	5 Concluding
	References
ZhuangCharacteristic Culture Detection Based on Improved YOLOV3-SPP Network
	1 Introduction
	2 Network Model
		2.1 Framework
		2.2 Residual Structure
		2.3 Feature Prediction
		2.4 Model Loss Function
	3 Experiment and Result Analysis
		3.1 Experimental Data Set
		3.2 Experimental Environment and Evaluation Indicators
		3.3 Validation on the Data Set
	4 Conclusion
	References
A Method for Detecting Safety Helmet in Substation Operation Scene Based on Yolov3
	1 Introduction
	2 Safety Helmet Wearing Detection Method
		2.1 Yolov3 Target Detection Network
		2.2 Head Positioning Method
		2.3 How to Judge the Helmet Wearing
	3 Data Set
	4 Experiment Analysis
		4.1 Analysis of Training Performance of Helmet Detection Model Based on Yolov3
		4.2 Performance Analysis of Helmet Detection Model Test Based on Yolov3
	5 Concluding Remarks
	References
Gray-Scale Image Color Migration Algorithm Based on Dual-Stream Convolutional Neural Network
	1 Introduction
	2 Design of Network Architecture
	3 Improved Local Feature Extraction Network Based on SE-ResNet-20
		3.1 Principle of SENet
		3.2 Residual Network
		3.3 Improved Local Feature Extraction Network
	4 Experiment and Result Analysis
		4.1 Data Set Preprocessing
		4.2 Analysis of Image Color Migration Results
	5 Conclusion
	References
FM-Mnet Real-Time Object Detection Model for Video Feature Fusion Processing
	1 Introduction
	2 Related Work
	3 Motivation
	4 FM-Mnet Model
		4.1 Data Preprocessing and Feature Extraction
		4.2 Feature Fusion
	5 Experiment
		5.1 Dataset
		5.2 Evaluation
	6 Conclusion
	References
Modeling and Trajectory Tracking Control Simulation of 3-DOF Hoisting Manipulator
	1 Introduction
	2 Modeling of Hoisting Manipulator
		2.1 Hoisting Robot Arm Structure and Coordinate Transformation
		2.2 Description of Elastic Deformation of Horizontal Telescopic Connecting Rod
		2.3 Total Kinetic Energy of Hoisting Manipulator
		2.4 Total Potential Energy of Hoisting Manipulator
		2.5 Model of Hoisting Manipulator
	3 ADAMS Model Establishment and Manipulator Model Confirmation
		3.1 Adams Model Set up
		3.2 Model Confirmation
	4 Controller
		4.1 Design of the Full Nonlinear Integral Sliding Mode Controller
		4.2 Stability Analysis
		4.3 Trajectory Tracking Simulation Analysis
	5 Conclusion
	References
Intelligent Multimedia Tools and Applications
Virtual Display and Interaction System Design of Bingxi Scroll Painting Based on Augmented Reality Technique
	1 Introduction
	2 Method
		2.1 Registration
		2.2 Display and Output
	3 Original Feature Extraction and Visual Design
	4 Design and Implementation of AR System
	5 Comprehensive Evaluation of AR Exhibition
	6 Conclusion
	References
GPU Implementation of Staggered Period Estimation Algorithm Acceleration
	1 Introduction
	2 Model of Stagger Radar
	3 Staggered Period Estimation Algorithm
	4 Parallel Implementation of Algorithm Acceleration
	5 GPU Parallel Implementation and Analysis
		5.1 Contrast Experiment
		5.2 Influence of the Number of Mixed Pulse on Acceleration Performance
	6 Conclusion
	References
BioAR: Bio-Laboratory Automation Meets Augmented Reality
	1 Introduction
	2 Related Work
	3 The BioAR System
		3.1 Preliminary and System Requirements
		3.2 System Overview
		3.3 Design Issues and Decisions
	4 Experiment and Result
		4.1 Implementation Details
		4.2 Results
	5 Limitation and Conclusion
	References
3D Voxel Reconstruction Based on Shape Layer
	1 Introduction
	2 Related Works
	3 Proposed Approach
		3.1 Shape Layers
		3.2 Network Model Design
		3.3 Loss Function
	4 Experimental Results and Analysis
		4.1 Data Sets
		4.2 Ablation Study
		4.3 Evaluation Results
	5 Conclusion
	References
Research on Weld Recognition and NURBS Curve Fitting Method Based on Improved OTSU Double Threshold Segmentation
	1 Introduction
	2 Weld Image Preprocessing
		2.1 Weld Image Gray-Scale
		2.2 Weld Image Denoising
	3 The OTSU Double Threshold Image Segmentation Based on Improved Genetic Algorithm
		3.1 Improved OTSU Double Threshold Segmentation
		3.2 Improved Genetic Algorithm
		3.3 The OTSU Double Threshold Image Segmentation Based on Improved Genetic Algorithm
	4 Weld Centerline Coordinate Extraction
	5 NURBS Curve Fitting of Weld
	6 Experimental Results and Analysis
		6.1 Image Grayscale and Denoising Experiment
		6.2 Weld Image Threshold Segmentation Experiment
		6.3 Extraction of Weld Center Line and NURBS Curve Fitting
	7 Concluding
	References
Modeling and Simulation of Non-common Field Position and Pose Measurement of Dual Cameras
	1 Introduction
	2 Dual Camera Pose Measurement Model
		2.1 Measuring Coordinate System
		2.2 Coordinate Transformation
		2.3 Establishment of Pose Measurement Model
	3 Pose Measurement Model Calculation
		3.1 Alpha Calculation
		3.2 ΔX, ΔY, ΔZ Calculations
	4 Pose Measurement Simulation
	5 Conclusion
	References
Neural Network and Deep Learning
Transformer Combination Weighting Evaluation Model Based on BP Neural Network
	1 Introduction
	2 Analysis of Transformer Operation State
		2.1 Transformer Working Status Classification
		2.2 Evaluation Process and System of Transformer Operation State
	3 Comprehensive Evaluation Model of Transformer's Overall Operating Status
		3.1 BP Neural Network
		3.2 Transformer Combination Weighting Evaluation Model Based on BP Neural Network
	4 Analysis on the Evaluation Effect of Transformer's Overall Operation State
	5 Conclusion
	References
Research on Target Recognition Algorithm Based on Improved Faster-RCNN
	1 Introduction
	2 Faster-RCNN Algorithm Principle
	3 Improved Faster-RCNN Network
		3.1 Resnet 101 Backbone Network
		3.2 Improved RPN Module
		3.3 Improved RoI
	4 Experiment and Result Analysis
		4.1 Data Set
		4.2 Evaluation Index
		4.3 Training Parameters
		4.4 Analysis of Results
	5 Concluding
	References
Identification Method of Dust Accumulation of Air Cooled Condenser Based on Convolution Neural Learning
	1 Introduction
	2 Experimental and Methods
		2.1 Experimental System
		2.2 Data Set Acquisition
		2.3 Identification Method
	3 Results and Discussion
	4 Conclusion
	References
A Pedestrian Intrusion Detection Method Based on Improved Mask R-CNN Model
	1 Introduction
	2 Mask R-CNN Algorithm
		2.1 ResNet Combined with FPN Detection Algorithm
		2.2 Regional Proposal Network
		2.3 ROIAlign Layer
		2.4 Loss Function
	3 Model Establishment and Detection Based on Mask R-CNN
		3.1 Data Processing
		3.2 Model Construction
		3.3 Target Detection
	4 Experimental Results and Analysis
		4.1 Model Performance Analysis Based on Mask R-CNN
		4.2 Model Performance Evaluation
	5 The Conclusion
	References
A Flight Simulation Model Architecture for Reinforcement Learning
	1 Preface
	2 Research Tracking
	3 Basic Architecture of Aircraft Agent Reinforcement Learning
	4 Discrete Flight Computing Architecture
	5 Software Infrastructure Design
		5.1 Basic Integration Model
		5.2 Flight Integration Model
		5.3 Flight Computation Model
		5.4 Aircraft Model
	6 Data Management Architecture
		6.1 Data Architecture
		6.2 Basic Data
		6.3 Derived Data
	7 Computational Process Architecture
	8 Flight Status Transfer Architecture
	9 Reinforcement Learning Computing Support
	10 Conclusion
	References
NLP and Clustering
HDMacBERT-FGM-CRF Model-Based Chinese Event Element Extraction
	1 Introduction
	2 Related Work
	3 HDMacBERT-FGM-CRF Model
		3.1 Model Framework
		3.2 HDMacBERT Model
		3.3 FGM Model-Based Countermeasure Training
		3.4 CRF Model-Based Predicting Probability Value of Sequence Tags
	4 Experiments
		4.1 Experimental Datasets
		4.2 Evaluation Criteria and Environmental Configuration
		4.3 Setup of Experimental Parameters
		4.4 Contrast Experiment Settings
	5 Conclusions
	References
Abstractive Sentences Summarization Model Combining Entity Information and Bidirectional Decoding
	1 Introduction
	2 Related Work
	3 NERBidecoder Model
		3.1 Named Entity Tags
		3.2 Encoder
		3.3 Decoder
		3.4 Beam-Search
	4 Experimental Results
		4.1 Datasets
		4.2 Evaluation Metrics
		4.3 Experimental Steps
		4.4 Baseline Models
		4.5 Analysis of Experimental Results
	5 Conclusion
	References
Multi-group Discrete Symbiotic Organisms Search Algorithm Based Clustering Method for Large-Scale Traveling Salesman Problem
	1 Introduction
	2 Related Work
		2.1 SOS Algorithm
	3 Our Proposed SOS Algorithm for Multi-group Communication Strategy Based on K-Means Clustering Method
		3.1 Small-Scale TSP Problem After K-Means Clustering Optimization
		3.2 Path Connectivity Between Multiple Small-Scale Urban Agglomerations
	4 Experimental Results
		4.1 Setting of Parameters
		4.2 Performance Comparison Between MDSOSKMC and DSOS Algorithm
		4.3 Analysis of Results
	5 Conclusion
	References
Cluster Analysis of Smart Meter Load Based on Electricity Behavior Characteristics
	1 Data Acquisition of Smart Meter Data
	2 Different Types of Load Analysis
		2.1 Analysis of Resident Load Characteristics
		2.2 Analysis of Load Characteristics of SMEs
		2.3 Analysis of Regional Total Load Characteristics
	3 Feature Extraction of Electricity Consumption Based on MapReduce
	4 User Clustering of Smart Meter Big Data Based on K-Means
		4.1 K-Means Clustering Based on Canopy
		4.2 Analysis of User Clustering Results
	5 Conclusion
	References
Improved Affinity Propagation Clustering Based on K-Nearest Neighbors and Canopy Algorithm
	1 Introduction
	2 Related Work
		2.1 AP Clustering Algorithm
	3 The Proposed Algorithm KCAP
		3.1 KCAP Algorithm
	4 Experiments and Analysis
		4.1 Experiments on Synthetic Data Sets
		4.2 Experiments on UCI Data Sets
	5 Conclusions
	References
Research on Multi-dimensional Load Characteristics Based on Vertical and Horizontal Hybrid Clustering
	1 Introduction
	2 The Overall Thinking Process of This Article
		2.1 Basic Process
		2.2 Features of This Article
	3 Model Solving Method and Process
		3.1 Preprocessing of Grid Raw Load Data
		3.2 K-means Algorithm
	4 Multi-Dimensional Analysis of Load Characteristics by Vertical and Horizontal Hybrid Clustering
		4.1 Longitudinal Clustering and Their Multi-dimensional Analysis of Load
		4.2 Multi-Dimensional Analysis of Load Characteristics Considering Mathematical and Physical Characteristics
		4.3 Horizontal Cluster Analysis of Load Characteristics
	5 Conclusion
	References
Big Data Analysis and Ontology System
An Improved Fireworks Algorithm for Ontology Matching
	1 Introduction
	2 Relevant Concepts
	3 The Confidence Maximization Model
	4 Elite Solution Priority Mutation Strategy
		4.1 Fireworks Algorithm
		4.2 Implementation Details of Elite Solution Priority Mutation Strategy
	5 Experimental Results and Analysis
	6 Conclusions and Future Works
	References
Revealing Top-k Dominant Individuals in Incomplete Data Based on Spark Environment
	1 Introduction
	2 Related Work
		2.1 Top-k Dominance
		2.2 MapReduce
		2.3 Spark
	3 Preliminary
	4 TKD Query on Large Incomplete Datasets
		4.1 The Bitmap Index Table
		4.2 Proposed Algorith
	5 Experimental Results
	6 Conclusion and Future Work
	References
Optimizing Task Processing in Big Data with Federated Learning
	1 Introduction
	2 Model
	3 Methodology
		3.1 Feature Extraction
		3.2 Federated Learning Process
	4 Experimental Analysis
	5 Conclusion
	References
Privacy of Web Browsers: A Challenge in Digital Forensics
	1 Introduction
	2 Related Work
	3 Proposed Approach
	4 Findings
	5 Discussion
	6 Conclusion and Future Work
	References
Mining High Utility-probability Sequential Patterns in Bigdata Environments
	1 Introduction
	2 Related Work
		2.1 Proposed Method
	3 Preliminary and Problem Statement
		3.1 Preliminaries
		3.2 Problem Statement
	4 Proposed a MapReduce Framework
		4.1 Initialization Phase
		4.2 Updating Phase
		4.3 Mining Phase
	5 Experimental Results
	6 Conclusion and Future Work
	References
The Timeliness Position Recommendation Based on Geographical Impacts and Social Impacts
	1 Introduction
	2 Related Work
	3 Divide Circle Based on Time State
		3.1 Division of the Geographical Circle
		3.2 Construct Geographical Circle Based on Time State
		3.3 Construct Social Circle Based on Time State
	4 Geographical and Social Influence
		4.1 Geographical Preference
		4.2 Similarity of Subject
		4.3 Authority
		4.4 Proximity of Intimacy
		4.5 Position Recommendation Model Based on Matrix Decomposition
	5 Experiment
		5.1 Data Set
		5.2 Indicators of Evaluation
	6 Conclusion
	References
Smart Grid and Energy Internet
Division of Power Grid Dispatching Domain and Analysis of Operation Characteristics
	1 Introduction
	2 Stochastic Power Flow Model
		2.1 Stochastic Power Flow Simulation for Wind Power Systems
		2.2 Stochastic Power Flow Method for Power System with Wind Power
	3 Stochastic Voltage Stability Assessment Under Uncertainty
		3.1 Random Sampling of Uncertainty of Load Composition
		3.2 Random Sampling of Load Level Inaccuracy
	4 Voltage Stability L Index Calculated on the Basis of Stochastic Power Flow
	5 Division Index Among Grid Dispatching Domain
	6 Case Simulation and Operation Characteristics Analysis of Power Grid Dispatching Domain
		6.1 Example Simulation
		6.2 Analysis of the Network Dispatch Domain Operating Characteristics
	7 Conclusion
	References
Distribution Network Load Forecasting Based on Smart Meter User Behavior Clustering
	1 Introduction
	2 Clustering of Electricity Consumption Behavior of Smart Meter Users Based on Gaussian Mixture Model
		2.1 GMM Clustering Based on Gap Statistics
		2.2 Clustering Feature Selection
	3 Long Short-Term Memory
	4 Classified Load Forecasting Model Based on LSTM
	5 Experiments
		5.1 Feature Selection Results
		5.2 Analysis of Prediction Results
	6 Conclusion
	References
Regulation Strategy of Electric Vehicle Charging Station Taking into Account New Energy Consumption
	1 Introduction
	2 Distributed Power Model
		2.1 Electric Vehicle Model
		2.2 Uncertainty of Renewable Energy
	3 Regulation Strategy Model of Electric Vehicle Charging Station
		3.1 The Objective Function
		3.2 The Constraint
		3.3 Intelligent Optimization Algorithm
	4 Simulation Results and Analysis
	5 Conclusion
	References
Evaluation Model of Power Staff Skill State Based on Improved Analytic Hierarchy ProcessFuzzy Comprehensive Evaluation
	1 Introduction
	2 Skills Evaluation Index System of Electric Power Employees
	3 Based on Improved Analytic Hierarchy ProcessFuzzy Comprehensive Evaluation Method
		3.1 Calculation of the Comprehensive Weight of Index
		3.2 Determination of Membership Matrix
	4 Fuzzy Comprehensive Evaluation Model of Electric Power Staff Skills
	5 Experimental Verification
	6 Conclusion
	References
Information Recommendation Method of Network Blended Skill Learning Based on Personalized Adaptive of Electric Power Staff
	1 Introduction
	2 Design of Network Hybrid Information Recommendation Method
		2.1 Modular Processing of Network Hybrid Information
		2.2 Similarity Calculation of Network Hybrid Information
		2.3 Network Hybrid Information Recommendation Algorithm
	3 Experimental Results and Analysis
		3.1 Establish Experimental Data Set
		3.2 Comparison of Network Hybrid Information Recommendation Methods
		3.3 Offline Calculation Recommended Experiment
		3.4 Online Personalized Recommendation Experiment
	4 Conclusion
	References
A Differential Evolution Algorithm for Wind Farm Layout Optimization Using a New Bilevel Programming Model
	1 Introduction
	2 Wind Farm Model
		2.1 Wind Speed Probability Density Function [12]
		2.2 Wake Effect Model
		2.3 Cost Model
		2.4 Expected Power Model
	3 Proposed Method
		3.1 Bilevel Programming Model
		3.2 Improved Differential Evolution (IDE)
	4 Computational Experiment and Discussions
		4.1 Parameter Setting
		4.2 Computational Results
		4.3 The Presented Optimization Layout
	5 Conclusion
	References
Genetic Algorithm and Machine Learning
Test Paper Automatic Generating Method Based on Hybrid Genetic Algorithm
	1 Introduction
	2 Problem Description
		2.1 Mathematical Models
		2.2 Constraint Condition
		2.3 Objective Function
	3 Proposed Method
		3.1 Chromosome Coding
		3.2 Fitness Function
		3.3 Operator Design
		3.4 Algorithm Framework
	4 Experimental Test
		4.1 Experimental Environment
		4.2 Scheme Design
	References
Improved Multi-objective Genetic Algorithm for Unit Economic Operating Load Distribution
	1 Introduction
	2 Establishment of Mathematical Models
		2.1 Objective Function
		2.2 Constraints
	3 Multi-objective Genetic Algorithm and Optimization
		3.1 Multi-objective Genetic Algorithm
		3.2 Improved Multi-objective Genetic Algorithm
	4 Example Analysis
		4.1 Example Description
		4.2 Interpretation of Result
	5 Conclusion
	References
An Improved GA-Based Recommendation System for Soil Fertilization
	1 Introduction
	2 Related Work
	3 Preliminaries and Problem Statement
	4 Designed Model
	5 Experiments
	6 Conclusion and Future Work
	References
Survey on Initialization Methods of Cuckoo Search Algorithm
	1 Introduction
	2 Cuckoo Search
	3 Initialization Methods
		3.1 Uniform Distribution
		3.2 Beta Distribution
		3.3 Rayleigh Distribution
		3.4 Chaotic Method
		3.5 Uniform Design
		3.6 Opposition-Based Learning
		3.7 Quadratic Interpolation
	4 Experiment and Results
		4.1 Different Dimensions Comparison
		4.2 Impact of Population Size
	5 Conclusion
	References
Tumbleweed Algorithm and Its Application for Solving Location Problem of Logistics Distribution Center
	1 Introduction
	2 Tumbleweed Algorithm
		2.1 Seedling Growth Stage
		2.2 Seed Propagation Stage
	3 Experimental Results and Analysis
	4 Application in Solving Location Problem of Logistics Distribution Center
	5 Conclusion
	References
Research on Evasion Strategy of Aircraft Based on Deep Reinforcement Learning
	1 Introduction
	2 Maneuvering Confrontation Kinematic Model
		2.1 Description of Confrontation Situation
		2.2 Confrontation Kinematic Model
	3 Maneuver Training Model Based on Reinforcement Learning
		3.1 State Space
		3.2 Gain Signals
		3.3 Action Space
	4 Strategy Learning Algorithm Based on Deep Q Network
		4.1 Initialize the Empirical Sample Pool with a Priori Assumptions
		4.2 Priority Replay Based on Revenue Experience
		4.3 Maneuver Evasion Strategy Deep Reinforcement Learning Algorithm Flow
	5 Simulation
	6 Conclusions
	References
Wireless Sensor Networks and Internet of Things
Research on NPE Algorithm of Ring Main Unit Fault Detection Based on Internet of Things Technology
	1 Introduction
	2 Research on Fault Detection of Ring Main Unit
		2.1 Internet of Things Technology for Fault Detection
		2.2 NPE Algorithm for Fault Detection
	3 Example Analysis
	4 Concluding Remarks
	References
Mechanical Fault Diagnosis of Circuit Breaker Based on Improved Grey Relational Analysis
	1 Introduction
	2 HVCB Vibration Signal Feature Processing Method Based on Time Domain Features
		2.1 Actual Measurement Signal Acquisition System Based on Virtual Instrument
		2.2 HVCB Fault Feature Extraction Based on Time-Domain Features of Original Signals
	3 Identification of Mechanical Fault Types of Circuit Breakers Based on Improved Grey Relational Analysis
		3.1 Traditional Grey Relational Analysis
		3.2 Improve Grey Relational Analysis
	4 Experiment Analysis
	5 Conclusion
	References
A Matrix-Analytic Solution to Three-Level Multi-Server Queueing Model with a Shared Finite Buffer
	1 Introduction
	2 A Three-Level Multi-server Queueing Model with Routing Probability and Finite Buffer
	3 A Matrix Analytic Method
		3.1 A Queueing Analysis
		3.2 Performance Measure
	4 Sensitivity Analysis
		4.1 Case Study 1
		4.2 Case Study 2
	5 Conclusions
	References
A Novel Learning-Based Approach for Large Outdoor Power Transmission Equipment Detection
	1 Introduction
	2 Related Work
		2.1 Power Tower Detection
		2.2 Insulator and Other Power Equipment Detection
		2.3 YOLO Family
	3 Proposed Approach
		3.1 Data Preparation
		3.2 Structure of Proposed Approach
		3.3 Procedures of Proposed Method
	4 Experiment and Result
		4.1 Environment Setting
		4.2 Training and Evaluation of Experimental Results
		4.3 Assessment Metrics
		4.4 Comparisons and Analysis
	5 Conclusions
	References
Fusion Structure-based Fault State Prediction of Wind Turbine Spindle
	1 Overview
	2 Fault State Prediction Model for Spindle Based on Fusion Structure
		2.1 Design Ideas
		2.2 Factorization Machine Learns First-Order and Second-Order Features
		2.3 Deep Network Learns Higher-Order Features
		2.4 Cross Network Learns Cross Features
		2.5 Prediction Process
	3 Experiments and Result Analysis
	4 Concluding Remarks
	References
TDOA Location Based on Pigeon-Inspired Optimization Algorithm in WSNs
	1 Introduction
	2 Related Work
		2.1 Time Difference of Arrive (TDOA)
		2.2 Pigeon-Inspired Optimization
	3 Experiments for TDOA in WSNs Problem
	4 Conclusion
	References
Author Index




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