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Advances in Swarm Intelligence

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

  • 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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    You can also search for this editor in PubMed   Google Scholar

  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 13968)

Included in the following conference series:

Conference proceedings info: ICSI 2023.

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Table of contents (39 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Swarm Intelligence Computing

    1. Front Matter

      Pages 1-1
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    2. Swarm Intelligence Algorithms and Applications: An Experimental Survey

      • Anasse Bari, Robin Zhao, Jahnavi Swetha Pothineni, Deepti Saravanan
      Pages 3-17

    3. Overview of Complex Intelligent System Reliability Technology

      • Zhaoyang Zeng, Wensheng Peng, Jiao Li
      Pages 18-29

    4. The Swarm Hierarchical Control System

      • E. V. Larkin, T. A. Akimenko, A. V. Bogomolov
      Pages 30-39

  3. Swarm Intelligence Optimization Algorithms

    1. Front Matter

      Pages 41-41
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    2. Multi-Modal Honey Bee Foraging Optimizer for Weapon Target Assignment Problem

      • Beena S. Lawrence, Chandra S. S. Vinod
      Pages 43-54

    3. A Dual-Strategy Contest Harmony Search Algorithm Based on Population State for the System Reliability-Redundancy Allocation Problems

      • Siqi Liang, Chang He, Haibin Ouyang
      Pages 55-67

    4. An Improved Fire Hawks Optimizer for Function Optimization

      • Adnan Ashraf, Aliza Anwaar, Waqas Haider Bangyal, Rabia Shakir, Najeeb Ur Rehman, Zhao Qingjie
      Pages 68-79

    5. Hybrid Artificial Ecosystem-Based Optimization Algorithm Solves Photovoltaic Models Parameter Identification Problem

      • Xiaoqiu Yu
      Pages 80-91

    6. Improved Ant Colony Optimization Based Binary Search for Point Pattern Matching for Efficient Image Matching

      • N. K. Sreeja, N. K. Sreelaja
      Pages 92-105

    7. Hierarchical Heterogeneous Ant Colony Optimization Based Approach to Optimize File Similarity Searches Using ssDeep

      • N. K. Sreelaja, N. K. Sreeja
      Pages 106-119

  4. Particle Swarm Optimization Algorithms

    1. Front Matter

      Pages 121-121
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    2. PSO with Local Search Using Personal Best Solution for Environments with Small Number of Particles

      • Yuji Sato, Yuma Yamashita, Jia Guo
      Pages 123-135

    3. Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Bacterial Foraging Optimization

      • Xiaole Liu, Chenhan Wu, Peilin Chen, Yongjin Wang
      Pages 136-147

    4. Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Firefly Algorithm

      • Peilin Chen, Chenhan Wu, Xiaole Liu, Yongjin Wang
      Pages 148-157

    5. Particle Swarm Optimizer Without Communications Among Particles

      • JunQi Zhang, XuRui Huang, Huan Liu, MengChu Zhou
      Pages 158-167

    6. An Atomic Retrospective Learning Bare Bone Particle Swarm Optimization

      • Guoyuan Zhou, Jia Guo, Ke Yan, Guoao Zhou, Bowen Li
      Pages 168-179

    7. A PSO-Based Product Design Tolerance Optimization Method Considering Product Robustness

      • Shuai Li, Ruizhao Zheng, Yang Yang, Chunlin He, Yong Zhang
      Pages 180-191

  5. Genetic Algorithms

    1. Front Matter

      Pages 193-193
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Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

Keywords

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 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.

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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