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Advances in Swarm Intelligence

14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ying Tan

    1. Peking University, Beijing, China

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  2. Yuhui Shi

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

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  3. Wenjian Luo

    1. Harbin Institute of Technology, Shenzhen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13969)

Included in the following conference series:

Conference proceedings info: ICSI 2023.

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About this book

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 second part cover topics such as: Swarm Robotics and UAV; Machine Learning; Data Mining; Routing and Scheduling Problems; Stock Prediction and Portfolio Optimization; ICSI-Optimization Competition.

 


Keywords

Table of contents (42 papers)

  1. Front Matter

    Pages i-xxiv
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  2. Swarm Robotics and UAV

    1. Front Matter

      Pages 1-1
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    2. A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots

      • Chung-Yu Huang, Jhih-Yi Li, Jhih-Yuan Huang, Wei-Po Lee
      Pages 3-15

    3. Collective Behavior for Swarm Robots with Distributed Learning

      • Junqiao Zhang, Qiang Qu, Xue-Bo Chen
      Pages 16-25

    4. Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots

      • Yifeng He, Kanzhong Yao, Barry Lennox, Farshad Arvin
      Pages 26-37

    5. Integrating Reinforcement Learning and Optimization Task: Evaluating an Agent to Dynamically Select PSO Communication Topology

      • Rodrigo Cesar Lira, Mariana Macedo, Hugo Valadares Siqueira, Carmelo Bastos-Filho
      Pages 38-48

    6. Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance

      • Chenyang Li, Guanjie Jiang, Yonghui Yang, XueBo Chen
      Pages 49-61

    7. A Novel Data Association Method for Multi-target Tracking Based on IACA

      • Yi Di, Guoyuan Zhou, Ziyi Tan, Ruiheng Li, Zheng Wang
      Pages 62-73

    8. MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup

      • Pu Feng, Xin Yu, Junkang Liang, Wenjun Wu, Yongkai Tian
      Pages 74-85

    9. Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback

      • Peng Liu, Junchao Wei, Hao Wang, Chunjun He, Jianxia Zhang, Haiyue Li et al.
      Pages 86-97

    10. Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution

      • Yao Lu, Xiangyin Zhang
      Pages 98-110

    11. Design and Analysis of VLC-OCC-CDMA Rake System

      • Qiu Yang, Si Yujuan, Yu Xiaoyu, Yang Dong, Chen Yuexin, Yang Wenke
      Pages 111-124

  3. Machine Learning

    1. Front Matter

      Pages 125-125
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    2. Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks

      • Shun Lu, Cheng Chen, Kunlong Zhang, Yang Zheng, Zheng Hu, Wenjing Hong et al.
      Pages 127-138

    3. Pyrorank: A Novel Nature-Inspired Algorithm to Promote Diversity in Recommender Systems

      • Doruk Kilitcioglu, Nicholas Greenquist, Anasse Bari
      Pages 139-155

    4. Analysis of SIR Compartmental Model Results with Different Update Strategies

      • Mijat Kustudic, Maja Gulan, Junrui Lu, Ben Niu
      Pages 156-167

    5. Research on Location Selection of General Merchandise Store Based on Machine Learning

      • Boyu Lin, Feipeng Li, Jiqiang Feng, Shengbing Xu
      Pages 168-180

    6. CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search

      • Wei Song, Shuya Li
      Pages 181-192

    7. Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission

      • Ruizhuo Zhang, Wenjian Luo, Yongkang Luo, Shaocong Xue
      Pages 193-203

  4. Data Mining

    1. Front Matter

      Pages 205-205
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Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  • Harbin Institute of Technology, Shenzhen, China

    Wenjian Luo

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