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 I

  • 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 13344)

Included in the following conference series:

Conference proceedings info: ICSI 2022.

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

Access this book

Log in via an institution
eBook USD 79.99
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 first part cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.

Similar content being viewed by others

Keywords

Table of contents (45 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Swarm Intelligence and Nature-Inspired Computing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Information Utilization Ratio in Heuristic Optimization Algorithms

      • Junzhi Li, Ying Tan
      Pages 3-22

    3. A General Framework for Intelligent Optimization Algorithms Based on Multilevel Evolutions

      • Chenchen Wang, Caifeng Chen, Ziru Lun, Zhanyu Ye, Qunfeng Liu
      Pages 23-35

  3. Swarm-Based Computing Algorithms for Optimization

    1. Front Matter

      Pages 37-37
      Download chapter PDF

    2. Improved Hamming Diversity Measure for Set-Based Optimization Algorithms

      • Kyle Erwin, Andries Engelbrecht
      Pages 39-47

    3. A Mapping Solution Search Garden Balsam Optimization for Solving Invariant Point Problems

      • Xiaohui Wang, Shengpu Li
      Pages 48-58

    4. Parallel Symbiotic Lion Swarm Optimization Algorithm Based on Latin Hypercube Distribution

      • Zongxin Han, Mingyan Jiang
      Pages 59-69

    5. Research on Spectrum Allocation Algorithm Based on Quantum Lion Swarm Optimization

      • Keqin Jiang, Mingyan Jiang
      Pages 70-81

    6. Bean Optimization Algorithm Based on Differential Evolution

      • Yongqiang Hu, Ying Li, Tingjuan Li, Jiaqing Xu, Hang Liu, Changshun Zhang
      Pages 82-94

    7. A Backbone Whale Optimization Algorithm Based on Cross-stage Evolution

      • Xin Yang, Limin Wang, Zhiqi Zhang, Xuming Han, Lin Yue
      Pages 95-104

    8. An Improved Hunger Games Search Algorithm for Global Optimization

      • Shaolang Li, Xiaobo Li, HuiChen, Yuxin Zhao, Junwei Dong
      Pages 105-116

    9. An Improved Hydrologic Cycle Optimization Algorithm for Solving Engineering Optimization Problems

      • Haiyun Qiu, Bowen Xue, Ben Niu, Tianwei Zhou, Junrui Lu
      Pages 117-127

    10. Image Denoising Method of Auto-evolving PCNN Model Based on Quantum Selfish Herd Algorithm

      • Hongyuan Gao, Haijun Zhao, Shicong Chen
      Pages 128-138

  4. Particle Swarm Optimization

    1. Front Matter

      Pages 139-139
      Download chapter PDF

    2. Dynamic Multi-swarm Particle Swarm Optimization with Center Learning Strategy

      • Zijian Zhu, Tian Zhong, Chenhan Wu, Bowen Xue
      Pages 141-147

    3. Alternative Learning Particle Swarm Optimization for Aircraft Maintenance Technician Scheduling

      • Tian Zhong, Chenhan Wu, Zijian Zhu, Zhenzhen Zhu
      Pages 148-159

    4. A Surrogate-Assisted Ensemble Particle Swarm Optimizer for Feature Selection Problems

      • Jiang Zhi, Zhang Yong, Song Xian-fang, He Chunlin
      Pages 160-166

    5. Generational Exclusion Particle Swarm Optimization with Central Aggregation Mechanism

      • Chenhan Wu, Zijian Zhu, Zhong Tian, Chen Zou
      Pages 167-175

    6. Solving the Unit Commitment Problem with Improving Binary Particle Swarm Optimization

      • Jianhua Liu, Zihang Wang, Yuxiang Chen, Jian Zhu
      Pages 176-189
Back to top

Other volumes

  1. Advances in Swarm Intelligence

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