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E-grāmata: Advances in Swarm Intelligence: 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part I

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 13968
  • Izdošanas datums: 07-Jul-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031366222
  • Formāts - PDF+DRM
  • Cena: 83,27 €*
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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 13968
  • Izdošanas datums: 07-Jul-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031366222

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This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”.

The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the first part cover topics such as: Swarm Intelligence Computing; Swarm Intelligence Optimization Algorithms; Particle Swarm Optimization Algorithms; Genetic Algorithms; Optimization Computing Algorithms; Neural Network Search & Large-Scale Optimization; Multi-objective Optimization.

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-OC2023 Competition.- Group Simulated Annealing Algorithm for ICSI-OC