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Advances in Swarm Intelligence

9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I

  • Ying Tan
  • Yuhui Shi
  • Qirong Tang
Conference proceedings ICSI 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10941)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10941)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Theories and Models of Swarm Intelligence

    1. Front Matter
      Pages 1-1
    2. E. V. Larkin, M. A. Antonov
      Pages 3-13
    3. Eugene Larkin, Alexey Ivutin, Alexander Novikov, Anna Troshina, Yulia Frantsuzova
      Pages 22-31
    4. Chengyong Si, Jianqiang Shen, Weian Guo, Lei Wang
      Pages 42-50
    5. Manuel-Ignacio Balaguera, Jenny-Paola Lis-Gutierrez, Mercedes Gaitán-Angulo, Amelec Viloria, Rafael Portillo-Medina
      Pages 51-57
    6. Shakhnaz Akhmedova, Vladimir Stanovov, Eugene Semenkin
      Pages 68-77
  3. Ant Colony Optimization

    1. Front Matter
      Pages 89-89
    2. M. V. Saramud, I. V. Kovalev, V. V. Losev, M. V. Karaseva, D. I. Kovalev
      Pages 91-100
    3. Jing Liang, Xiujuan Lei, Ling Guo, Ying Tan
      Pages 101-112
    4. Qingyi Zhang, Xingwei Wang, Min Huang, Jianhui Lv
      Pages 113-122
  4. Particle Swarm Optimization

    1. Front Matter
      Pages 123-123
    2. JunQi Zhang, JianQing Chen, XiXun Zhu, ChunHui Wang
      Pages 125-131
  5. Artificial Bee Colony Algorithms

  6. Genetic Algorithms

    1. Front Matter
      Pages 189-189
    2. Lingyan Lv, Yuxin Liu, Chao Gao, Jianjun Chen, Zili Zhang
      Pages 191-200
    3. Lulu Gong, Ruowei Zhao, Jinye Liang, Lei Li, Ming Zhu, Ying Xu et al.
      Pages 201-209
    4. Christina Brester, Ivan Ryzhikov, Eugene Semenkin, Mikko Kolehmainen
      Pages 210-219
  7. Differential Evolution

    1. Front Matter
      Pages 221-221
    2. Ben Niu, Xuesen Yang, Hong Wang, Kaishan Huang, Sung-Shun Weng
      Pages 223-232
    3. John Saveca, Zenghui Wang, Yanxia Sun
      Pages 233-242
    4. Victor Parque, Tomoyuki Miyashita
      Pages 251-260
  8. Fireworks Algorithm

    1. Front Matter
      Pages 261-261
    2. Jun Yu, Hideyuki Takagi, Ying Tan
      Pages 263-272
    3. Feng-Zeng Liu, Bing Xiao, Hao Li, Li Cai
      Pages 273-282
    4. Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba
      Pages 283-291
  9. Bacterial Foraging Optimization

    1. Front Matter
      Pages 293-293
    2. Lu Xiao, Jinsong Chen, Lulu Zuo, Huan Wang, Lijing Tan
      Pages 295-303
    3. Fredy Martínez, Angelica Rendón, Mario Arbulú
      Pages 304-313
  10. Artificial Immune System

    1. Front Matter
      Pages 315-315
    2. Sheng-rong Zou, Chen Wang, Si-ping Jiang, Li Chen
      Pages 317-326
    3. Yangyang Li, Guangyuan Liu, Peidao Li, Licheng Jiao
      Pages 327-337
  11. Hydrologic Cycle Optimization

    1. Front Matter
      Pages 339-339
  12. Other Swarm-based Optimization Algorithms

    1. Front Matter
      Pages 359-359
    2. Eugene Larkin, Vladislav Kotov, Aleksandr Privalov, Alexey Bogomolov
      Pages 361-373
    3. Zhe Xu, Yang Yu, Hanaki Yachi, Junkai Ji, Yuki Todo, Shangce Gao
      Pages 384-396
    4. Sheng Li, Fenggang Yuan, Yang Yu, Junkai Ji, Yuki Todo, Shangce Gao
      Pages 397-409

About these proceedings

Introduction

The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections as follows: theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithms; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization; multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; prediction, classification; finding patterns; image enhancement; deep learning.

 

Keywords

Computer Science artificial intelligence clustering differential evolution evolutionary algorithms genetic algorithms hybrid optimization algorithms learning algorithms local optima multi-agent systems multiobjective optimization pareto principle particle swarm optimization (pso) problem solving sensors signal processing software engineering swarm intelligence swarm robotics wireless sensor networks

Editors and affiliations

  • Ying Tan
    • 1
  • Yuhui Shi
    • 2
  • Qirong Tang
    • 3
  1. 1.Peking UniversityBeijingChina
  2. 2.Southern University of Science and TechnologyShenzhenChina
  3. 3.Tongji UniversityShanghaiChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-93815-8
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-93814-1
  • Online ISBN 978-3-319-93815-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site