Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XIX, 496 p. 183 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Numerical analysis Data mining Computer simulation Artificial intelligence Numerical Analysis Data Mining and Knowledge Discovery Computer Modelling Artificial Intelligence |
ISBN | 3-319-20469-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis. |
Record Nr. | UNISA-996198515003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XXXI, 600 p. 217 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Numerical analysis Data mining Computer simulation Artificial intelligence Numerical Analysis Data Mining and Knowledge Discovery Computer Modelling Artificial Intelligence |
ISBN | 3-319-20466-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis. |
Record Nr. | UNISA-996198515403316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Swarm and Computational Intelligence [[electronic resource] ] : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, June 25-28, 2015, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XIX, 498 p. 198 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Numerical analysis Data mining Computer simulation Artificial intelligence Numerical Analysis Data Mining and Knowledge Discovery Computer Modelling Artificial Intelligence |
ISBN | 3-319-20472-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis. |
Record Nr. | UNISA-996198514703316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Swarm and Computational Intelligence : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XIX, 496 p. 183 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Numerical analysis Data mining Computer simulation Artificial intelligence Numerical Analysis Data Mining and Knowledge Discovery Computer Modelling Artificial Intelligence |
ISBN | 3-319-20469-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis. |
Record Nr. | UNINA-9910484419503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in Swarm and Computational Intelligence : 6th International Conference, ICSI 2015 held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, June 25-28, 2015, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XIX, 498 p. 198 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Numerical analysis Data mining Computer simulation Artificial intelligence Numerical Analysis Data Mining and Knowledge Discovery Computer Modelling Artificial Intelligence |
ISBN | 3-319-20472-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis. |
Record Nr. | UNINA-9910483179103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in Swarm and Computational Intelligence : 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XXXI, 600 p. 217 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Numerical analysis Data mining Computer simulation Artificial intelligence Numerical Analysis Data Mining and Knowledge Discovery Computer Modelling Artificial Intelligence |
ISBN | 3-319-20466-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Novel swarm-based optimization algorithms and applications -- Particle swarm optimization -- Ant colony optimization -- Artificial bee colony algorithms -- Evolutionary and genetic algorithms -- Differential evolution -- Brain storm optimization algorithm -- Biogeography based optimization -- Cuckoo search -- Hybrid methods -- Multi-objective optimization -- Multi-agent systems and swarm robotics -- Neural networks and fuzzy methods -- Data mining approaches -- Information security -- Automation control -- Combinatorial optimization algorithms -- Scheduling and path planning -- Machine learning -- Blind sources separation -- Swarm interaction behavior -- Parameters and system optimization -- Neural networks -- Evolutionary and genetic algorithms -- Fuzzy systems -- Forecasting algorithms -- Classification -- Tracking analysis -- Simulation -- Image and texture analysis -- Dimension reduction -- System optimization -- Segmentation and detection system -- Machine translation -- Virtual management and disaster analysis. |
Record Nr. | UNINA-9910484419403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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 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 |
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 |
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 |
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 | ||
|