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Advances in Swarm Intelligence

10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part I

  • Ying Tan
  • Yuhui Shi
  • Ben Niu
Conference proceedings ICSI 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11655)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11655)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Novel Models and Algorithms for Optimization

    1. Front Matter
      Pages 1-1
    2. Ying Tan, Bo Shi
      Pages 3-17
    3. Eugene Larkin, Aleksandr Privalov
      Pages 18-28
    4. Jesús Silva, Carlos Rondón Rodriguez, Cesar Ospino Abuabara, Nadia León Castro, Leidy Pérez Coronell, Hugo Hernandez-P et al.
      Pages 29-38
    5. Shakhnaz Akhmedova, Vladimir Stanovov, Eugene Semenkin
      Pages 39-49
    6. Meng Wu, Yun Zhou, Xiaomin Zhu, Li Ma, Yutong Yuan, Taosheng Fang et al.
      Pages 60-69
    7. Iztok Fister Jr., Dušan Fister, Andres Iglesias, Akemi Galvez, Samo Rauter, Iztok Fister
      Pages 70-79
  3. Particle Swarm Optimization

    1. Front Matter
      Pages 91-91
    2. Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
      Pages 93-105
    3. Qidong Chen, Jun Sun, Vasile Palade, Chao Li, Zhongjie Mao, Hao Wu
      Pages 156-166
  4. Ant Colony Optimization

    1. Front Matter
      Pages 189-189
    2. Mikhail V. Saramud, Igor V. Kovalev, Vasiliy V. Losev, Anna A. Voroshilova
      Pages 191-201
    3. Mingli Lu, Benlian Xu, Xin Dong, Peiyi Zhu, Jian Shi
      Pages 202-209
    4. Lingyan Lv, Chao Gao, Jianjun Chen, Liang Luo, Zili Zhang
      Pages 210-219
    5. Zilong Zhuang, Zizhao Huang, Daili Song, Wei Qin
      Pages 220-231
    6. Tingjun Lei, Chaomin Luo, Gene Eu Jan, Kevin Fung
      Pages 232-242
    7. Vijay Pandey, Akshaye Malhotra, Rajeev Kant, Sudip Kumar Sahana
      Pages 243-253
  5. Fireworks Algorithms and Brain Storm Optimization

    1. Front Matter
      Pages 255-255
    2. Yuhao Li, Jun Yu, Hideyuki Takagi, Ying Tan
      Pages 257-266
    3. Junfeng Chen, Ninjerdene Bulgan, Xingsi Xue, Xinnan Fan, Xuewu Zhang
      Pages 276-285
    4. Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka et al.
      Pages 286-296
  6. Swarm Intelligence Algorithms and Improvements

    1. Front Matter
      Pages 297-297
    2. Magda López-López, Axel Zamora, Roberto A. Vazquez
      Pages 299-309
    3. Can Sun, Xinyu Zhou, Mingwen Wang
      Pages 310-319
    4. Akemi Gálvez, Iztok Fister, Iztok Fister Jr., Eneko Osaba, Javier Del Ser, Andrés Iglesias
      Pages 320-330
    5. Rebeca Sánchez, Patricia Suárez, Akemi Gálvez, Andrés Iglesias
      Pages 341-351
  7. Genetic Algorithm and Differential Evolution

    1. Front Matter
      Pages 361-361
    2. Xinchao Zhao, Jia Liu, Junling Hao, Jiaqi Chen, Xingquan Zuo
      Pages 384-394
    3. Nachum Dershowitz, Zvi Retchkiman Königsberg
      Pages 395-401
  8. Swarm Robotics

    1. Front Matter
      Pages 403-403
    2. Daisuke Inoue, Daisuke Murai, Hiroaki Yoshida
      Pages 405-416
    3. Haibin Duan, Bingda Tong, Yin Wang, Chen Wei
      Pages 429-438

Other volumes

  1. Advances in Swarm Intelligence
    10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part I
  2. 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part II

About these proceedings

Introduction

The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019.

The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows:

Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics.

Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management.

Keywords

aco artificial intelligence differential evolution evolutionary algorithms genetic algorithms hybrid optimization algorithms learning algorithms multiobjective optimization neural networks particle swarm optimization pso robotics robots support vector machines svm swarm intelligence telecommunication networks wireless networks wireless telecommunication systems World Wide Web

Editors and affiliations

  • Ying Tan
    • 1
  • Yuhui Shi
    • 2
  • Ben Niu
    • 3
  1. 1.Peking UniversityBeijingChina
  2. 2.Southern University of Science and TechnologyShenzhenChina
  3. 3.Shenzhen UniversityShenzhenChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-26369-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-26368-3
  • Online ISBN 978-3-030-26369-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site