
Advances in Harmony Search, Soft Computing and Applications
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This book discusses various aspects of real-world applications of optimization algorithms, presenting insights from the 5th International Conference on Harmony Search, Soft Computing and Applications, held at Kunming, China on July 20-22, 2019. The book focuses on the recent advances in soft computing techniques such as harmony search, PSO and DE and their application to solve engineering problems. Presenting research on various real-world engineering problems concerning crowd evacuation strategies, adaptive learning systems, economic impact analysis, cyber-attack detection, urban drainage systems, water management models, feature selection and inventory systems, it is a valuable resource for researchers wanting a state-of-the-art overview of the latest advances in soft computing and related areas.
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Content
- Intro
- Preface
- Contents
- Improved Gray-Neural Network Integrated Forecasting Model Applied in Complex Forecast
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Improved Integrated Forecasting Model IMGM-BPNN
- 3.1 Improved Metabolic GM(1,1) Forecasting Models
- 3.2 Back-Propagation Neural Network
- 3.3 IMGM-BPNN Applied in Talent Demand Forecast
- 4 Talent Demand Analysis of a Certain City
- 4.1 Talent Aggregate Demand Analysis
- 4.2 Talent Structure Analysis
- 5 Forecast Results
- 5.1 Forecast Results of Talent Aggregate Demand
- 5.2 Forecast Results of Sector Structure
- 6 Precision Analysis
- 6.1 Comparison of Fitting Accuracy of Different GM(1,1) Models
- 6.2 Precision Analysis of Talent Aggregate Demand Forecast
- 6.3 Precision Analysis of Sector Structure Forecast
- 7 Conclusion
- References
- Design of AGV Positioning Navigation Control System Based on Vision and RFID
- Abstract
- 1 Preface
- 1.1 System Overview
- 1.2 Hardware Design of Navigation Control System
- 2 Navigation Control Strategy
- 2.1 Method of Visual Positioning Precisely
- 2.2 RFID Positioning Method
- 3 Image Processing Algorithm
- 3.1 Automatic Exposure Algorithm Design of Visual Image Acquisition
- 3.2 Algorithm Design of Visual Longitudinal Guide Line
- 3.3 Extraction Algorithm Target Contour Pixel
- 3.4 Edge Contour Detection
- 3.5 Recognition and Classification of Target Pixel
- 4 Application and Verification
- 5 Conclusion
- References
- Improved Image Retrieval Algorithm of GoogLeNet Neural Network
- Abstract
- 1 Related Work
- 2 Improved GoogLeNet Neural Network
- 2.1 GoogLeNet Neural Network
- 2.2 Hash Function Layer
- 3 Experimental Methods and Steps
- 3.1 Dataset
- 3.2 Experimental Methods
- 4 Experimental Results and Performance Analysis
- 4.1 Performance Indicators
- 4.2 Results on CIFAR-10
- 4.3 Results on NUS-WIDE
- 5 Conclusion
- References
- A Review of Face Anti-spoofing and Its Applications in China
- Abstract
- 1 Introduction
- 2 Current Research State of Face Anti-spoofing
- 2.1 Feature Engineering Based Approaches
- 2.2 Deep Learning Based Approaches
- 2.3 Other Approaches
- 2.4 Performance Comparisons
- 3 Applications of Face Anti-spoofing in China
- 3.1 Alibaba Cloud
- 3.2 Tencent Cloud
- 3.3 Baidu Cloud
- 3.4 CloudWalk Technology
- 3.5 SenseTime
- 4 Trends of Face Anti-spoofing
- 4.1 Method of 3D Reconstruction of Face Information
- 4.2 Methods Based on Multimodal Fusion by Various Sensors
- 4.3 Methods Based on Generative Model
- Acknowledgement
- References
- An Event Based Detection of Internal Threat to Information System
- 1 Introduction
- 2 Related Work
- 3 Internal Threat Detection
- 3.1 Rules and Regulations
- 3.2 Internal Staffs' Behavior
- 3.3 Detection Model
- 3.4 Detection
- 4 Evaluation
- 4.1 Production Evaluation
- 4.2 Production Deployment
- 5 Conclusion
- References
- Loop Closure Detection for Visual SLAM Using Simplified Convolution Neural Network
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Method
- 3.1 Image Preprocessing
- 3.2 The SCNN Architecture
- 3.3 The Similarity Calculation
- 4 Experimental Result and Evaluation
- 4.1 The Performance of Loop Detection Algorithm
- 4.2 Computational Time
- 5 Conclusion
- References
- Development of Optimal Pump Operation Method for Urban Drainage Systems
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Advanced Pump Operation
- 2.2 Multi-objective Harmony Search Algorithm
- 2.3 Optimization Problem
- 3 Study Area
- 4 Application Results
- 5 Conclusions
- Acknowledgements
- References
- Parameter Estimation of Storm Water Management Model with Sewer Level Data in Urban Watershed
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Performance Measures
- 2.2 Model Overview
- 2.3 Application Network
- 2.4 Estimated Parameters
- 3 Application Results
- 3.1 Model Calibration
- 3.2 Model Verification
- 4 Conclusions
- Acknowledgements
- References
- Multiobjective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm
- Abstract
- 1 Introduction
- 2 Multi-objective Parameter Calibration of a Hydrological Model
- 2.1 Modified Tank Model
- 2.2 Parameters Calibration Approach
- 2.3 Multi-objective Harmony Search Algorithm
- 3 Application Results
- 3.1 Study Area
- 3.2 Results of Modified Tank Model
- 4 Conclusions
- Acknowledgment
- References
- Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Cyber-Attack Specifications
- 2.2 Performance Indices
- 2.3 Artificial Neural Network
- 3 Model Formulation
- 3.1 Study Network
- 3.1.1 Datasets of Cyber-Attacks on C-Town
- 4 Result
- 5 Conclusion
- Acknowledgements
- References
- Multi-objective Jaya Algorithm for Solving Constrained Multi-objective Optimization Problems
- 1 Introduction
- 2 Background
- 2.1 Jaya Algorithm
- 2.2 Oppositional Based Learning (OBL)
- 3 Working Manner of the Proposed Hybrid Method (CMOJA)
- 4 Numerical Examples and Analysis of Results
- 4.1 Constrained Multi-objective Problem 1: CONSTR
- 4.2 Constrained Multi-objective Problem 2: KITA
- 4.3 Constrained Multi-objective Problem 3: SRN
- 5 Conclusions
- References
- DSP-Based Implementation of a Real-Time Sound Field Visualization System Using SONAH Algorithm
- Abstract
- 1 Introduction
- 2 SONAH Algorithm
- 3 Implementation
- 3.1 Hardware Design
- 3.2 Software Development
- 4 Performance
- 4.1 Computer Simulation
- 4.2 Experiment Results
- 5 Conclusion
- References
- The Economic Impact Analysis of the 1994 Northridge Earthquake by Deep Learning Tools
- Abstract
- 1 Introduction
- 2 Methodology, Data and Model Test
- 3 Test the Abnormal Returns in the Event Window
- 4 Conclusions
- Acknowledgement
- References
- SWT-ARMA Modeling of Shenzhen A-Share Highest Composite Stock Price Index
- Abstract
- 1 Introduction
- 2 Multiscale Simulation and Prediction Based on SWT and ARMA Model
- 2.1 Basic Principle of SWT Positive and Inverse Transformation
- 2.2 Multiscale Modelling
- 3 Time Series Modeling and Testing of Shenzhen A-Share Highest Composite Stock Price Index
- 3.1 Time Series Data Selection and Stationarity Test of Shenzhen A-Share Highest Composite Stock Price Index
- 3.2 SWT and ARMA Modeling of Shenzhen A-Share Highest Composite Stock Price Index Time Series
- 3.3 Comprehensive Comparison Between SWT-ARMA and ARMA Models
- 4 Discussion and Conclusion
- References
- The Application of Text Categorization Technology in Adaptive Learning System for Interpretation of Figures
- Abstract
- 1 Introduction
- 2 Current Studies on Machine Learning Classification Technology
- 3 Application of Machine Learning Text Categorization Technology
- 4 Case Analysis
- 4.1 Equation to Be Used
- 4.2 The Experimental Results (Take Chinese-English Translation as an Example)
- 5 Summary
- Acknowledgement
- References
- A Method for Extracting and Simplifying the Stray Capacitance Matrix of the Dry-Type Smoothing Reactor
- Abstract
- 1 Introduction
- 2 Simulation and Analysis
- 2.1 Theoretical Analysis
- 2.2 Structure of a Small Reactor
- 2.3 Extraction and Simplification of the Matrix
- 2.4 Simulation Verification
- 3 Experiment and Discussion
- 3.1 Extraction and Simplification of the Matrix of the Prototype
- 3.2 Experiment
- 4 Conclusion
- References
- Coordinated, Efficient and Optimized Crowd Evacuation in Urban Complexes
- 1 Introduction
- 2 System Framework
- 2.1 Pedestrian Evacuation Model
- 2.2 Vehicles Scheduling Model
- 2.3 Evaluation Index
- 3 Evaluation
- 3.1 Evacuation Route Planning
- 3.2 Indoor Crowd Evacuation
- 3.3 Vehicles Scheduling Algorithm
- 3.4 Robustness Verification
- 3.5 Discussion
- 4 Conclusion
- References
- The Application of Big Data to Improve Pronunciation and Intonation Evaluation in Foreign Language Learning
- Abstract
- 1 Preface
- 2 Current Situations of Oral Foreign Language Learning Platforms
- 3 Speech Recognition Technology and Principles of Evaluation
- 4 Overall Framework Design on the System
- 5 The Process of Evaluation on Pronunciation and Intonation
- 5.1 Evaluation on Pronunciation
- 5.2 Evaluation on Fluency
- 5.3 Evaluation on Intonation, Stress and Rhythm
- 6 Experimental Results
- 7 Summary
- Acknowledgement
- References
- Serviceability Assessment Model Based on Pressure Driven Analysis for Water Distribution Networks Under Seismic Events
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 REVAS.NET
- 2.2 PDA Based Seismic Reliability Evaluation Model
- 3 Application Results
- 3.1 Application Network
- 3.2 Results of Scenarios
- 4 Conclusions
- Acknowledgements
- References
- Research on an Evaluation of the Work Suitability in the New First-Tier Cities
- Abstract
- 1 Introduction
- 2 Construction of City Industrial Evaluation Index System
- 3 Study on the Industrial Evaluation of New First-Tier Cities Based on Entropy-TOPSIS Model
- 3.1 Discussion on Practicality of Entropy-TOPSIS Model
- 3.2 Entropy-TOPSIS Model Evaluation Steps
- 4 Empirical Research
- 4.1 Source of Indicator Data
- 4.2 Model Solution
- 4.3 Analysis of Results
- 5 Conclusion
- References
- Optimal Path Planning in Environments with Static Obstacles by Harmony Search Algorithm
- 1 Introduction
- 2 Path Representation and Mathematical Model
- 3 Harmony Search Algorithm
- 4 Simulation Results
- 5 Conclusion
- References
- Online Feature Selection via Deep Reconstruction Network
- 1 Introduction
- 2 Related Work
- 2.1 Non Stationary Data Stream Learning
- 2.2 Feature Selection
- 3 Proposed Method
- 3.1 The Feature Monitoring Approach
- 3.2 Feature Selection Using Auto-Encoders
- 3.3 Ensemble Policy
- 4 Results and Evaluation
- 4.1 Test Set-Up
- 4.2 Evaluation Metrics
- 4.3 Results
- 5 Conclusions
- References
- 4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems
- Abstract
- 1 Introduction
- 2 4-Rule Harmony Search
- 3 Validation and Efficiency
- 3.1 Classical Benchmark Problems
- 3.2 CEC' 2015 Computationally Expensive Problems
- 4 Conclusions and Future Research
- Acknowledgement
- References
- An Empirical Case Study for the Application of Agricultural Product Traceability System
- Abstract
- 1 Introduction
- 2 Mobile Solution from Model-Driven Business Transformation
- 3 Traceability System for Gin-Guo Pear in Tianjin
- 4 Summary and Conclusions
- Acknowledgments
- References
- Study on the Coordinating Policy of Multi-echelon Inventory System
- 1 Introduction
- 2 Optimal Decision of Decentralized Inventory System
- 2.1 The Structure of Decentralized Two-Level Inventory System
- 2.2 Decision for Node 2
- 2.3 Decision for Node 1
- 3 Coordination Failure of Decentralized Inventory System
- 4 Coordinating Policy by Revenue Sharing Contract
- 5 Conclusion
- References
- Remote Intelligent Support Architecture for Ground Equipment Control in Space Launch Sites
- Abstract
- 1 Introduction
- 2 Related Research and Requirements
- 2.1 Control System at Launch Site
- 2.2 Intelligent Fault Diagnosis System
- 2.3 Technical Support
- 2.4 Current Status of Control System at Launch Site
- 3 Hierarchical Remote Intelligent Support Architecture for Ground Equipment
- 3.1 Field Level
- 3.2 Launch-Site Level
- 3.3 Long-Range Level
- 3.4 Intelligent Support Flow in Mission
- 4 Hierarchical Remote Intelligent Support Architecture for Ground Equipment
- 4.1 State Verification of Remote Control
- 4.2 Intelligent Fault Diagnosis
- 4.3 Intelligent Support
- 5 Construction of Remote Intelligent Support Architecture
- 6 Conclusion
- References
- Correlation Analysis and Body-Weight Estimation of Yak Traits in Yushu Prefecture
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 3 Algorithm Implementation
- 3.1 Descriptive Analysis
- 3.2 Correlation Analysis
- 3.3 Linear Regression Prediction
- 4 Conclusion
- References
- The Macroeconomic Influence of China Futures Market: A GARCH-MIDAS Approach
- 1 Introduction
- 2 Data and Methodology
- 2.1 Data
- 2.2 GARCH-MIDAS Model
- 3 Empirical Results
- 4 Conclusion
- References
- Author Index
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