Genetic and Evolutionary Computing : Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October 6–8, 2023, Kaohsiung, Taiwan / / edited by Jerry Chun-Wei Lin, Chin-Shiuh Shieh, Mong-Fong Horng, Shu-Chuan Chu

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (573 pages)
• Disciplina: 005.432
• Soggetto topico: Computational intelligence; Mathematical optimization; Computational complexity; Computational Intelligence; Optimization; Computational Complexity
• Persona (resp. second.): LinJerry Chun-Wei
• Nota di contenuto: 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.
• Sommario/riassunto: This first book of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6–8, 2023, in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers know the up-to-date techniques of the mentioned topics, including swarm intelligence and its applications, operational technologies and networked multimedia applications, wearable computing and intelligent data hiding, image processing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
• Titolo autorizzato: Genetic and Evolutionary Computing
• ISBN: 981-9700-68-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910831020503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 1145