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Advances in Swarm Intelligence

11th International Conference, ICSI 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings

  • Conference proceedings
  • © 2020

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. Milan Tuba

    1. Singidunum University, Belgrade, Serbia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12145)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICSI 2020.

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Table of contents (64 papers)

  1. Front Matter

    Pages i-xvii
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  2. Swarm Intelligence and Nature-Inspired Computing

    1. Front Matter

      Pages 1-1
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    2. Swarm Intelligence in Data Science: Applications, Opportunities and Challenges

      • Jian Yang, Liang Qu, Yang Shen, Yuhui Shi, Shi Cheng, Junfeng Zhao et al.
      Pages 3-14

    3. Synchronized Swarm Operation

      • Eugene Larkin, Tatyana Akimenko, Aleksandr Privalov
      Pages 15-24

    4. Prediction of Photovoltaic Power Using Nature-Inspired Computing

      • Miroslav Sumega, Anna Bou Ezzeddine, Gabriela Grmanová, Viera Rozinajová
      Pages 25-36

    5. A Two-Step Approach to the Search of Minimum Energy Designs via Swarm Intelligence

      • Frederick Kin Hing Phoa, Tzu-Chieh Tsai
      Pages 37-45

    6. On Assessing the Temporal Characteristics of Reaching the Milestone by a Swarm

      • Eugene Larkin, Maxim Antonov
      Pages 46-55

  3. Swarm-Based Computing Algorithms for Optimization

    1. Front Matter

      Pages 57-57
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    2. Learning Automata-Based Fireworks Algorithm on Adaptive Assigning Sparks

      • Junqi Zhang, Lei Che, Jianqing Chen
      Pages 59-70

    3. Binary Pigeon-Inspired Optimization for Quadrotor Swarm Formation Control

      • Zhiqiang Zheng, Haibin Duan, Chen Wei
      Pages 71-82

    4. A Novel Biogeography-Based Optimization Algorithm with Momentum Migration and Taxonomic Mutation

      • Xinchao Zhao, Yisheng Ji, Junling Hao
      Pages 83-93

    5. A Modified Artificial Bee Colony Algorithm for Scheduling Optimization of Multi-aisle AS/RS System

      • Xiaohui Yan, Felix T. S. Chan, Zhicong Zhang, Cixing Lv, Shuai Li
      Pages 94-103

    6. The Research of Flexible Scheduling of Workshop Based on Artificial Fish Swarm Algorithm and Knowledge Mining

      • Jieyang Peng, Jiahai Wang, Dongkun Wang, Andreas Kimmig, Jivka Ovtcharova
      Pages 104-116

    7. A Novel Image Segmentation Based on Clustering and Population-Based Optimisation

      • Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Iakov Korovin
      Pages 117-129

    8. Colour Quantisation by Human Mental Search

      • Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hui Fang, Xiyao Liu, Iakov Korovin
      Pages 130-141

    9. Canine Algorithm for Node Disjoint Paths

      • R. Ananthalakshmi Ammal, P. C. Sajimon, Vinod Chandra S S
      Pages 142-148

  4. Particle Swarm Optimization

    1. Front Matter

      Pages 149-149
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    2. Optimizing Hydrography Ontology Alignment Through Compact Particle Swarm Optimization Algorithm

      • Yifeng Wang, Hanguang Yao, Liangpeng Wan, Hua Li, Junjun Jiang, Yun Zhang et al.
      Pages 151-162

    3. Map Generation and Balance in the Terra Mystica Board Game Using Particle Swarm and Local Search

      • Luiz Jonatã Pires de Araújo, Alexandr Grichshenko, Rodrigo Lankaites Pinheiro, Rommel D. Saraiva, Susanna Gimaeva
      Pages 163-175

    4. A Performance Class-Based Particle Swarm Optimizer

      • Chia Emmanuel Tungom, Maja Gulan, Ben Niu
      Pages 176-188
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Other volumes

  1. Advances in Swarm Intelligence

Keywords

About this book

This book constitutes the proceedings of the 11th International Conference on Advances in Swarm Intelligence, ICSI 2020, held in July 2020 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications.


Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  • Singidunum University, Belgrade, Serbia

    Milan Tuba

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