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Advances in Swarm Intelligence

15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2024

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14788)

Included in the following conference series:

Conference proceedings info: ICSI 2024.

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About this book

This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23–26, 2024.

The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:

Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization.

Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review.

Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xxii
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  2. Particle Swarm Optimization

    1. Front Matter

      Pages 1-1
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    2. Set-Based Particle Swarm Optimization for the Multi-objective Multi-dimensional Knapsack Problem

      • Mari Spangenberg, Andries Engelbrecht
      Pages 3-19

    3. Proposal of a Memory-Based Ensemble Particle Swarm Optimizer

      • Lizandro Nunes da Silva, Daniel Carvalho da Cunha, Raul Vitor Silva Barreto, Robson Dias Alves Timoteo
      Pages 20-32

    4. A Tri-Swarm Particle Swarm Optimization Considering the Cooperation and the Fitness Value

      • Tingting Liu, Yaqi Zhang, Huifen Zhong, Kai Jiang
      Pages 33-45

    5. A Modified Variable Velocity Strategy Particle Swarm Optimization Algorithm for Multi-objective Feature Selection

      • Xikun Liu, Ben Niu, Wenjie Yi
      Pages 46-57

    6. Multi-strategy Enhanced Particle Swarm Optimization Algorithm for Elevator Group Scheduling

      • Chen Zhang, Mingli Lu, Xu Zhou, Benlian Xu, Zhicheng Jin, Yuejiang Gu
      Pages 58-69

    7. A Self-learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion

      • Kaouther Ben Ali, Hassen Louati, Slim Bechikh
      Pages 70-84

    8. Convolutional Neural Network Architecture Design Using an Improved Surrogate-Assisted Particle Swarm Optimization Algorithm

      • Xin Zhao, Jiajing Qi, Yahui Cao, Tao Zhang, Yanzhang Geng, Yang Wang
      Pages 85-96

  3. Swarm Intelligence Computing

    1. Front Matter

      Pages 97-97
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    2. Cooperative Search and Rescue Target Assignment Based on Improved Ant Colony Algorithm

      • Defa Zhu, Lichun Yang, Jiaqi Wu
      Pages 99-109

    3. A Metabolic Pathway Design Method Based on Surrogate-Assisted Fireworks Algorithm

      • Xin Zhao, Shuxin Cui, Tao Zhang, Yahui Cao, Ming Yang, Weijie Liu
      Pages 110-121

    4. Circle Chaotic Search-Based Butterfly Optimization Algorithm

      • Wenting Li, Jun Yang, Peng Shao
      Pages 122-132

    5. An Adaptive Bacterial Foraging Optimization Algorithm Based on Chaos-Enhanced Non-elite Reverse Learning

      • Yibo Yong, Lianbo Ma, Yang Gao
      Pages 133-144

    6. Enhanced Bacterial Foraging Optimization with Dynamic Disturbance Learning and Bilayer Nested Structure

      • Yaqi Zhang, Tingting Liu, Ben Niu, Huifen Zhong
      Pages 145-156

    7. Improved Kepler Optimization Algorithm Based on Mixed Strategy

      • Jiacheng Li, Masato Noto, Yang Zhang
      Pages 157-170

    8. Harmony Search with Dynamic Dimensional-Reduction Adjustment Strategy for Large-Scale Absolute Value Equation

      • Longquan Yong
      Pages 171-181

    9. Massive Conscious Neighborhood-Based Crow Search Algorithm for the Pseudo-Coloring Problem

      • Monique Simplicio Viana, Rodrigo Colnago Contreras, Paulo Cavalcanti Pessoa, Marcelo Adriano dos Santos Bongarti, Hoda Zamani, Rodrigo Capobianco Guido et al.
      Pages 182-196

    10. Multi-strategy Integration Model Based on Black-Winged Kite Algorithm and Artificial Rabbit Optimization

      • Ruidong Xue, Xiaoxia Zhang, Xin Xu, Jiangtao Zhang, Dongdong Cheng, Guoyin Wang
      Pages 197-207

  4. Differential Evolution

    1. Front Matter

      Pages 209-209
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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

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