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

• Autore: Pan Jeng-Shyang
• Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (522 pages)
• Altri autori: PanZhigeng HuPei LinJerry Chun-Wei
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Vehicle Traveling Speed Prediction Based on LightGBM Algorithm -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Travel Speed Prediction on Expressway -- 4 Experiments and Analysis of Results -- 4.1 Data Sources and Pre-processing -- 4.2 Parameter Selection -- 4.3 Evaluation Indicators -- 4.4 Experimental Results and Analysis -- 5 Conclusions -- References -- A Feature Matching Method Based on Rolling Guided Filter and Collinear Triangular Matrix Optimal Transport -- 1 Introduction -- 2 Proposed Framework -- 2.1 The Keypoint Response Computation Method Based on Rolling Guided Filter Constraints -- 2.2 Feature Matching Based on Property Optimization with Keypoint Response Constraints -- 2.3 Collinear Triangular Matrix Optimal Transport -- 3 Experimental Analysis -- 3.1 Analysis of Scale Factor of Rolling-Guided Filter -- 3.2 Property Constraint Analysis in Feature Matching -- 3.3 Comparison and Analysis with Existing Methods -- 4 Conclusion -- References -- Short-Time Driving Style Classification and Recognition Method on Expressway -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 Feature Construction -- 2.3 Selection of the Number of Driving Style Categories -- 2.4 Short-Time Driving Style Classification Method -- 2.5 Short-Time Driving Style Recognition -- 3 Experimental Results and Analysis -- 3.1 Analysis of Driving Style Classification Results -- 3.2 Short-Time Driving Style Recognition Results -- 4 Conclusion -- References -- Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM -- 1 Introduction -- 1.1 Background -- 1.2 Related Work -- 2 Methods -- 2.1 Convolutional Neural Network -- 2.2 Long Short-Term Memory -- 2.3 Establishment of CNN-LSTM Model -- 3 Experimental Research -- 3.1 Experimental Analysis. ; 3.2 Model Parameter Adjustment -- 3.3 Model Performance Evaluation Index -- 3.4 Comparison Model Experiment -- 3.5 Result Analysis -- 4 Conclusions -- References -- Expressway Traffic Speed Prediction Method Based on KF-GRU Model via ETC Data -- 1 Introduction -- 2 Algorithm -- 2.1 Problem Description and Definition -- 2.2 Overall Framework -- 2.3 Construction of Section Speed Dataset -- 2.4 Kalman Filter -- 2.5 Gated Recurrent Unit -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Dynamic Brightness Adjustment of Tunnel Lighting Based on ETC Transaction Data -- 1 Introduction -- 2 Bidirectional LSTM Model -- 2.1 Basic Principle -- 2.2 BiLSTM Network -- 3 Simulation Experiments -- 3.1 Dataset Introduction -- 3.2 Data Preprocessing -- 3.3 Evaluation -- 3.4 Experiment Results -- 4 Conclusion -- References -- Short-Time Traffic Flow Prediction of Highway Toll Station Based on Combined GRU-MLP Model -- 1 Introduction -- 2 Related Work -- 3 GRU-MLP Combination Model -- 3.1 GRU Neural Network -- 3.2 MLP Neural Network -- 3.3 Combination Model -- 4 Experiment -- 4.1 Data Presentation and Analysis -- 4.2 Evaluation Indicators -- 4.3 GRU-MLP Combined Model Predictions and Analysis of Results -- 5 Conclusion -- References -- Real-Time Carbon Emission Monitoring and Prediction Method of Expressway Based on LSTM -- 1 Introduction -- 2 Carbon Emission Prediction Model Based on RNN-LSTM -- 2.1 RNN-LSTM Neural Network Model -- 2.2 Carbon Dioxide Emissions Accounting Method -- 2.3 Vehicle carbon Emission Calculation Model -- 3 Simulation Experiments -- 3.1 Data Description -- 3.2 Introduction of Comparative Experiment -- 3.3 Evaluation Index and Parameter Setting -- 3.4 Experimental Results and Analysis -- 4 Conclusion -- References -- PSR-GAN: Unsupervised Portrait Shadow Removal Using Evolutionary Computing -- 1 Introduction -- 2 Related Work. ; 3 Data Synthesis -- 3.1 Shadow Model -- 3.2 Shadow Image Synthesis -- 3.3 Dataset Composition -- 4 Methodology -- 4.1 Evolutionary Computing -- 4.2 Network Architecture -- 4.3 Loss Function -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 6 Conclusion and Future Works -- References -- Chebyshev Inequality and the Identification of Genes Associated with Alzheimer's Disease -- 1 Introduction -- 1.1 Introduction to AD and Gene Chip Technology -- 1.2 Simple Idea of Chebyshev's Inequality Applied to Genetic Screening -- 2 Materials and Methods -- 2.1 Data Collection -- 2.2 Data Preprocessing -- 2.3 Correlation Obtained by Two Ways -- 2.4 Changes in Disease Relevance at Different Stages -- 2.5 Chebyshev's Inequality Screens for Genes Associated with AD -- 3 Results -- 3.1 Correlation Between Cosine Similarity and the Pearson Correlation Coefficient Measure for AD Genes -- 3.2 Pearson's Correlation Coefficient and Cosine Similarity Measures the Difference in Correlation Between Different Stages -- 3.3 The Chebysheff Inequality was Used to Screen Candidate Genes from Changes Based on Pearson Correlation Coefficient and Cosine Similarity -- 4 Discussion -- 4.1 Discussion of Correlation Calculation Results -- 4.2 Analysis of AD Candidate Genes -- 5 Conclusions -- References -- A Novel Crossover Operator Based on Grey Wolf Optimizer Applied to Feature Selection Problem -- 1 Introduction -- 2 Material and Methods -- 2.1 Grey Wolf Optimizer as Crossover Operator -- 2.2 Description of Datasets and Evaluation Methods -- 3 Results -- 3.1 Compare with Different Feature Selection Algorithms -- 3.2 Compare with Different Crossover Operators -- 3.3 Real AD Data Applications -- 4 Discussion -- 5 Conclusion -- References -- Research on the Detection Method of Sybil Attacks on Wireless Terminals in Power Internet of Things -- 1 Introduction. ; 2 The Impact of Sybil Attacks -- 2.1 The Impact of Sybil Attacks on Localization -- 2.2 The Impact of Sybil Attacks on Data Transmission -- 2.3 The Impact of Sybil Attacks on Routing -- 3 Sybil Attack Detection and Resistance -- 3.1 Sybil Attack Detection Scheme -- 3.2 Improved Positioning Strategy of Anti-Sybil Attack -- 3.3 Improved Routing Strategies to Counter Sybil Attacks -- 4 Simulation Experiment and Analysis -- 4.1 Simulation Experiment and Analysis -- 4.2 Algorithm Simulation and Analysis -- 5 Conclusion -- References -- Probability Vector Enhanced Tumbleweed Optimization Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 Compact Particle Swarm Optimization -- 2.2 Tumbleweed Optimization Algorithm -- 3 Probability Vector Enhanced Tumbleweed Optimization Algorithm -- 3.1 Basic Idea -- 3.2 Seedling Growth Stage -- 3.3 Seed Propagation Stage -- 4 Numerical Experimental Analysis -- 5 Conclusion -- References -- Improving BFGO with Apical Dominance-Guided Gradient Descent for Enhanced Optimization -- 1 Introduction -- 2 Related Work -- 2.1 Metaheuristic Algorithms and Gradient Descent -- 2.2 Bamboo Forest Growth Optimization (BFGO) Algorithm -- 3 Methodology -- 3.1 Apical Dominance in BFGO-ADGD -- 3.2 Gradient Descent in BFGO-ADGD -- 3.3 BFGO with Apical Dominance-Guided Gradient Descent -- 4 Experiment and Analysis -- 5 Conclusion -- References -- Research on Innovative Social Service Training Mode in Higher Vocational Colleges Under the New Situation -- 1 Introduction -- 2 The Connotation and Significance of Social Service in Vocational Colleges -- 2.1 The Connotation -- 2.2 The Significance -- 3 Analysis of Social Service Training Model in Higher Vocational Colleges -- 3.1 Content of Social Service Training Model -- 3.2 Issues in the Social Service Training Model. ; 4 Strategies for Innovating the Social Service Training Model in Higher Vocational Colleges -- 4.1 Establishing New Social Training Organizational Structures -- 4.2 Building a High-Quality Training Faculty -- 4.3 Innovating the Social Service Training Model -- 4.4 Introduction of New Generation Information Technology Training Methods -- 4.5 Strengthening School-Enterprise Collaborative Training -- 5 Conclusion -- References -- Research on the Precise Teaching Path of Higher Vocational Colleges Under the Concept of OBE in the Digital Era -- 1 Introduction -- 2 The Connotation of OBE Concept and Precise Teaching -- 2.1 The Concept of OBE -- 2.2 Precise Teaching -- 3 The Necessity of Implementing Precise Teaching in Higher Vocational Colleges Under the Concept of OBE -- 3.1 An Important Avenue to Meet Personalized Development Needs -- 3.2 An Important Means of Adapting Diverse Learning Paths -- 3.3 A Significant Approach to Implementing Generative Teaching Strategies -- 3.4 A Significant Form of Digital Empowerment Education -- 4 The Implementation Path of Precise Teaching in Higher Vocational Colleges Under the of Concept in the Digital Age -- 4.1 Define Learning Outcomes and Establish Precise Teaching Objectives -- 4.2 Attain Learning Outcomes by Precision Designing of Instructional Processes -- 4.3 Evaluate Learning Outcomes and Precisely Diagnosing Achievements -- References -- An Optimal Inventory Replenishment Strategy with Cross-docking System and Time Window Problem -- 1 Introduction -- 2 Problem Description and Assumptions -- 3 Model Development -- 4 A Case Study of a High-Tech Industry in Taiwan -- 5 Conclusion -- References -- Proposal of a DDoS Attack Detection Method Using the Communication Interval -- 1 Introduction -- 2 Research Background -- 2.1 DDoS Attack -- 2.2 DDoS Attack Detection Methods -- 2.3 Previous Research. ; 3 Proposed Method.
• Titolo autorizzato: Genetic and Evolutionary Computing
• ISBN: 981-9994-12-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910805582903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering Series