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Advances in Swarm Intelligence : 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi
| Advances in Swarm Intelligence : 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi |
| Autore | Tan Ying |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (493 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) | ShiYuhui |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science - Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN |
9789819771813
9789819771806 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Particle Swarm Optimization. -- Set-Based Particle Swarm Optimization for the Multi-Objective Multi-Dimensional Knapsack Problem. -- Proposal of a Memory-Based Ensemble Particle Swarm Optimizer. -- A Tri-swarm Particle Swarm Optimization Considering the Cooperation and the Fitness Value. -- A Modified Variable Velocity Strategy Particle Swarm Optimization Algorithm for Multi-objective Feature Selection. -- Multi-Strategy Enhanced Particle Swarm Optimization Algorithm for Elevator Group Scheduling. -- A Self-Learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion. -- Convolutional Neural Network Architecture Design Using An Improved Surrogate-assisted Particle Swarm Optimization Algorithm. -- Swarm Intelligence Computing. -- Cooperative Search and Rescue Target Assignment Based on Improved Ant Colony Algorithm. -- A Metabolic Pathway Design Method based on surrogate-assisted Fireworks Algorithm. -- Circle Chaotic Search-Based Butterfly Optimization Algorithm. -- An Adaptive Bacterial Foraging Optimization Algorithm Based on Chaos-Enhanced Non-Elite Reverse Learning. -- Enhanced Bacterial Foraging Optimization with Dynamic Disturbance Learning and Bilayer Nested Structure. -- Improved Kepler Optimization Algorithm Based on Mixed Strategy. -- Harmony Search with Dynamic Dimensional-reduction Adjustment Strategy for Large-scale Absolute Value Equation. -- Massive Conscious Neighborhood-based Crow Search Algorithm for the Pseudo-Coloring Problem. -- Multi-Strategy Integration Model Based on Black-Winged Kite Algorithm and Artificial Rabbit Optimization. -- Differential Evolution. -- Fractional Order Differential Evolution to Solve Parameter Estimation Problem of Solar Photovoltaic Models. -- Enhanced Dingo Optimization Algorithm Based on Differential Evolution and Chaotic Mapping for Engineering Optimization. -- Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine. -- Metaheuristic Algorithms for Enhancing Multicepstral Representation in Voice Spoofing Detection: An Experimental Approach. -- Evolutionary Algorithms. -- A Multi-modal Multi-objective Evolutionary Algorithm Based on Multi-criteria Grouping. -- Constructing Robust and Influential Networks against Cascading Failures via a Multi-objective Evolutionary Algorithm. -- Fault Reconfiguration of Distribution Networks Using an Enhanced Multimodal Multi-objective Evolutionary Algorithm. -- Attacking Evolutionary Algorithms via SparseEA. -- Evolutionary Computation with Distance-based Pretreatment for Multimodal Problems. -- Multi-Agent Reinforcement Learning. -- Stock Price Prediction Model Based on Blending Model Improved with Sentiment Factors and Double Q-learning. -- Stock price prediction mdoel integrating an improved NSGA-III with Random Forest. -- Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. -- Diversity Improved Genetic Algorithm for Weapon Target Assignment. -- An Investigation of Underground Rescue Scheduling with Multi-Agent Reinforcement Learning. -- Distributed Advantage-based Weights Reshaping Algorithm with Sparse Reward. -- Multi-objective Optimization. -- A Joint Prediction Strategy based on Multiple Feature Points for Dynamic Multi-objective Optimization. -- An Expensive Multi-objective Optimization Algorithm Based on Regional Density Ratio. -- Robust Lightweight Neural Network Architecture Search-based on Multi-objective Particle Swarm Optimization. -- Surrogate-Assisted Multi-Objective Evolutionary Algorithm Guided by Multi-Reference Points. -- Multi-objective Path planning of Multiple Unmanned Air Vehicles Using the CCMO Algorithm. -- Multi-UAV Collaborative Detection Based on Reinforcement Learning. |
| Record Nr. | UNINA-9910882888303321 |
Tan Ying
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Swarm Intelligence : 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi
| Advances in Swarm Intelligence : 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi |
| Autore | Tan Ying |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (464 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) | ShiYuhui |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science - Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN |
9789819771844
9789819771837 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Route Planning Problem. -- Solving the Traveling Salesman Problem for Efficient Route Planning through Swarm Intelligence Based Optimization. -- An Improved Genetic Algorithm for Vehicle Routing Problem with Time Window Requirements. -- Automated Planning and Scheduling with Swarm Intelligence. -- Grouping and Angle Partitioning-Based Coverage Path Planning for Swarm Robots Using Only Local Communication. -- A Hyper-heuristic Algorithm Based on Q-learning for 3D Drone Trajectory Planning. -- Machine Learning. -- Robust Heterogeneous Federated Learning via Data-Free Knowledge Amalgamation. -- Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-wise Clustering and MC-Hash Structure. -- Multiple Machine Learning Methods with Correlation Analysis for Short-term River Water Quality Prediction. -- FGFL: Fine-Grained Federated Learning based on Neural Architecture Search for Heterogeneous Clients. -- Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation. -- IS-SQL: Knowledge-Enhanced In-Context Learning and Self Correction of Text-to-SQL. -- Research on the Operation Strategy of S Internet Hospital Based on Business Intelligence. -- Complex Network-based Decision-making Analysis of Strikes on Important Nodes of a Typical Kill Chain. -- Pixel Importance-based Transfer Adversarial Attack. -- Data-Driven Intervention Strategies for Mitigating Illegal Wildlife Trade: A Case Study of the United States. -- Detection and Prediction. -- Lung Nodule Detection Based on Spike-driven Self-attention YOLO. -- Unsupervised Microservice Log Anomaly Detection Method Based on Graph Neural Network. -- Deep Learning-based Customer Lifetime Value Prediction in Imbalanced Data Scenarios: A Case Study. -- Improving the Accuracy of Predictive Models in Imbalanced Lung Cancer Data. -- Classification. -- Multimodal Imaging Classification Based on Mixture Model Networks. -- Confidence-guided online knowledge distillation for semi-supervised medical image classification. -- Research on classification method of construction laws and regulations data. -- Identity Authentication Methods Based on User Profiling. -- Automatic Hyperspectral Image Clustering using Qutrit Differential Evolution. -- Comparative Evaluation of Classification Techniques for Predicting Risk and Recurrence of Thyroid Disorders. -- Edge Computing. -- Hierarchical Diffusion Teaching-learning-based Optimizer with Variational Autoencoder for Mobile Edge Computing System Optimization. -- ESEC: A New Edge Server Selection Algorithm under Muiti-access Edge Computing. -- Edge Dynamic Service Offloading Based on Multi-Agent Deep Q Learning. -- Modeling and Optimization. -- New Design Algorithm: Interactive-Generative Product Design for Shape Generation and Optimization. -- Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation. -- Research on the basic combat round model of over-the-horizon air combat. -- An Offline Modeling Approach to Air Combat Maneuvering Policy. -- Neural Network Algorithm for Solving Nonlinear Equation Systems. -- Heart Failure Mortality Prediction: A Comparative Study of Predictive Modeling Approaches. -- Analysis of Review. -- Convolutional Neural Networks in Medical Imaging: A Review. -- A review of the analysis and evaluation of air combat situation and decision-making methods. -- Analyzing the Online Reviews to Explore Recent Trends of the U.S. Automotive Industry by Latent Dirichlet Allocation Method. |
| Record Nr. | UNINA-9910882898503321 |
|
Tan Ying
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (502 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36622-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC. |
| Record Nr. | UNINA-9910734876603321 |
|
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (502 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36622-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC. |
| Record Nr. | UNISA-996542671303316 |
|
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (553 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36625-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC 2022. |
| Record Nr. | UNISA-996542671203316 |
|
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (553 pages) |
| Disciplina |
004.0151
006.3824 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36625-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC 2022. |
| Record Nr. | UNINA-9910734887403321 |
|
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fireworks Algorithm : A Novel Swarm Intelligence Optimization Method / / by Ying Tan
| Fireworks Algorithm : A Novel Swarm Intelligence Optimization Method / / by Ying Tan |
| Autore | Tan Ying |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (344 p.) |
| Disciplina | 004 |
| Soggetto topico |
Artificial intelligence
Computational intelligence Numerical analysis Robotics Automation Artificial Intelligence Computational Intelligence Numeric Computing Robotics and Automation |
| ISBN | 3-662-46353-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgments; Contents; About the Author; Abbreviations; Symbols; List of Figures; List of Tables; Part I Fundamentals and Basic Theory; 1 Introduction; 1.1 Motivations; 1.2 Brief Introduction to Swarm Intelligence; 1.3 Brief Introduction to FWA; 1.4 Characteristics and Advantages of FWA; 1.5 Overviews of FWA Research; 1.6 Overview of the Book; References; 2 Fireworks Algorithm (FWA); 2.1 Introduction; 2.2 FWA Principle; 2.2.1 Explosion Operator; 2.2.2 Gaussian Mutation Operator; 2.2.3 Mapping Rule; 2.2.4 Selection Strategy; 2.3 Implementation of FWA; 2.3.1 Explosion Operator
2.3.2 Mutation Operator2.3.3 Mapping Rule; 2.3.4 Selection Strategy; 2.4 The Characteristics of FWA; 2.4.1 Explosion; 2.4.2 Instantaneity; 2.4.3 Simplicity; 2.4.4 Locality; 2.4.5 Emergent Property; 2.4.6 Distributed Parallelism; 2.4.7 Diversity; 2.4.8 Extendibility; 2.4.9 Adaptability; 2.5 Impact of Operators in FWA on Performance; 2.5.1 Explosion Operator; 2.5.2 Gaussian Mutation; 2.5.3 Mapping Rule; 2.5.4 Selection Strategy; 2.6 Comparison of FWA with Three Other SI Algorithms; 2.6.1 Ideas Comparison Between FWA and GA; 2.6.2 Ideas Comparison Between FWA and Two Versions of PSO 2.7 Experimental Results and Analysis2.7.1 Benchmark Functions; 2.7.2 Parameters Setting; 2.7.3 Experimental Results; 2.7.4 Analysis; 2.8 Summary; References; 3 Modeling and Theoretical Analysis of FWA; 3.1 A Stochastic Process Model for FWA; 3.2 Global Convergence Theorems; 3.3 Time Complexity of FWA; 3.3.1 Basic Theory of Time Complexity; 3.4 Deep Analysis of Time Complexity; 3.5 Influence of Random Number Generators on FWA; 3.5.1 Random Number Generators; 3.5.2 Modular Arithmetic Based RNGs; 3.5.3 Binary Arithmetic Based RNGs; 3.5.4 Experimental Setup 3.5.5 Experimental Results and Analysis3.6 Summary; References; Part II FWA Variants; 4 FWA Based on Function Approximation Approaches; 4.1 Introduction; 4.2 Fireworks Algorithm; 4.3 Fireworks Algorithm Acceleration by Elite Strategy; 4.3.1 Motivation; 4.3.2 Sampling Methods; 4.3.3 Fireworks Algorithm with an Elite Strategy; 4.4 Experimental Evaluations; 4.4.1 Experimental Design; 4.4.2 Experimental Results; 4.5 Discussion; 4.5.1 Fireworks Algorithm Acceleration Performance; 4.5.2 Approximation Methods; 4.5.3 Sampling Methods; 4.5.4 Sampling Data Number; 4.6 Summary; References 5 FWA with Controlling Exploration and Exploitation5.1 Some Improvements on Operations in FWA; 5.1.1 The Amplitude and Number of Sparks; 5.1.2 The Mutation Improvement; 5.1.3 Selection Strategy; 5.2 Experiment and Analysis; 5.2.1 Experimental Design; 5.2.2 Experimental Results and Analysis; 5.3 Summary; References; 6 Enhanced Fireworks Algorithm; 6.1 Properties of Conventional FWA; 6.2 The Proposed EFWA; 6.2.1 A New Minimal Explosion Amplitude Check (MEAC); 6.2.2 A New Operator for Generating Explosion Sparks; 6.2.3 A New Mapping Operator; 6.2.4 A New Operator for Generating Gaussian Sparks 6.2.5 A New Selection Operator |
| Record Nr. | UNINA-9910298965503321 |
|
Tan Ying
|
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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