Skip to main content
Springer Nature Link
Log in

Advances in Swarm Intelligence

13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part II

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ying Tan

    1. Peking University, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Yuhui Shi

    1. Southern University of Science and Technology, Shenzhen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Ben Niu

    1. Shenzhen University, Shenzhen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13345)

Included in the following conference series:

Conference proceedings info: ICSI 2022.

  • 28k Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13th International Conference on Advances in Swarm Intelligence, ICSI 2022, which took place in Xi’an, China, in July 2022. The theme of this year’s conference was “Serving Life with Swarm Intelligence”.
The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the second part cover topics such as: Swarm Robotics and Multi-agent System; Deep Neural Networks; Machine Learning; Data Mining; Other Optimization Applications; ICSI-OC’2022: Competition on Single Objective Bounded Optimization Problems; Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Swarm Intelligence Approach-based Applications; Multi-Objective Optimization.


Similar content being viewed by others

Keywords

Table of contents (40 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Swarm Robotics and Multi-agent System

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Bio-Inspired Neural Network Approach to Robot Navigation and Mapping with Nature-Inspired Algorithms

      • Tingjun Lei, Timothy Sellers, Chaomin Luo, Li Zhang
      Pages 3-16

    3. Hybrid Topology-Based Particle Swarm Optimizer for Multi-source Location Problem in Swarm Robots

      • JunQi Zhang, Yehao Lu, Mengchu Zhou
      Pages 17-24

    4. Advances in Cooperative Target Searching by Multi-UAVs

      • Changjian Wang, Xiaoming Zhang, Yingbo Lei, Hang Wu, Hang Liu, Lele Xie
      Pages 25-34

    5. Artificial Potential Field Method with Predicted State and Input Threshold for Multi-agent System

      • Dengxiu Yu, Zhize Du, Zhen Wang
      Pages 35-44

    6. An Efficient Scheduling and Navigation Approach for Warehouse Multi-Mobile Robots

      • Kang Zhao, Benlian Xu, Mingli Lu, Jian Shi, Zhen Li
      Pages 45-55

    7. Self-organizing Mobile Robots Swarm Movement Control Simulation

      • E. V. Larkin, T. A. Akimenko, A. V. Bogomolov
      Pages 56-65

    8. Multi-Objective Optimization Robot Navigation Through a Graph-Driven PSO Mechanism

      • Timothy Sellers, Tingjun Lei, Gene Eu Jan, Ying Wang, Chaomin Luo
      Pages 66-77

  3. Deep Neural Networks

    1. Front Matter

      Pages 79-79
      Download chapter PDF

    2. Training Quantized Deep Neural Networks via Cooperative Coevolution

      • Fu Peng, Shengcai Liu, Ning Lu, Ke Tang
      Pages 81-93

    3. An Improved Convolutional LSTM Network with Directional Convolution Layer for Prediction of Water Quality with Spatial Information

      • Ziqi Zhao, Yuxin Geng, Qingjian Ni
      Pages 94-105

    4. COVID-19 Detection Method Based on Attentional Mechanism and LSTM

      • Wanpeng Zhu, Xiujuan Lei
      Pages 106-117

    5. Cooperative Positioning Enhancement for HDVs and CAVs Coexisting Environment Using Deep Neural Networks

      • Ao Zhang, Xuting Duan, Jianshan Zhou, Haiying Xia, Long Zhang, He Liu et al.
      Pages 118-131

    6. Stability Analysis of Stochastic Neutral Hopfield Neural Networks with Multiple Time-Varying Delays

      • Yongcai Li, Shengbing Xu, Jiqiang Feng
      Pages 132-142

    7. Task Offloading Decision Algorithm for Vehicular Edge Network Based on Multi-dimensional Information Deep Learning

      • Xi Hu, Yang Huang, Yicheng Zhao, Chen Zhu, Zhibo Su, Rui Wang
      Pages 143-154

    8. Adversarial Examples Are Closely Relevant to Neural Network Models - A Preliminary Experiment Explore

      • Zheng Zhou, Ju Liu, Yanyang Han
      Pages 155-166

    9. Towards Robust Graph Convolution Network via Stochastic Activation

      • Zhengfei Yu, Hao Yang, Lin Wang, Lijian Sun, Yun Zhou
      Pages 167-174

  4. Machine Learning

    1. Front Matter

      Pages 175-175
      Download chapter PDF

    2. Extreme Learning Machine Based on Adaptive Matrix Iteration

      • Yuxiang Li, Weidong Zou, Can Wang, Yuanqing Xia
      Pages 177-188
Back to top

Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  • Shenzhen University, Shenzhen, China

    Ben Niu

Bibliographic Information

Publish with us

Policies and ethics

Back to top