Advances in Swarm Intelligence

8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part I

  • Ying Tan
  • Hideyuki Takagi
  • Yuhui Shi
Conference proceedings ICSI 2017
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10385)

Table of contents

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

  3. Novel Swarm-Based Optimization Algorithms

    1. Front Matter
      Pages 61-61
    2. Andrea Serani, Matteo Diez
      Pages 63-70
    3. Xiang Li, Kang Li, Zhile Yang
      Pages 71-79
    4. Lifang Xu, Hongwei Mo, Jiao Zhao, Chaomin Luo, Zhenzhong Chu
      Pages 80-87
    5. Fang Liu, Min Huang, Teng Zhang, Feng Mao
      Pages 88-98
    6. Jie Luo, Huiling Chen, Kejie Wang, Changfei Tong, Jun Li, Zhennao Cai
      Pages 99-105
    7. Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Zhihua Cui
      Pages 106-115
  4. Particle Swarm Optimization

    1. Front Matter
      Pages 117-117
    2. Jacomine Grobler, Andries P. Engelbrecht
      Pages 119-130
    3. Qianlin Zhou, Hui Lu, Jinhua Shi, Kefei Mao, Xiaonan Ji
      Pages 131-139
    4. Muhammad Zeeshan Shirazi, Trinadh Pamulapati, Rammohan Mallipeddi, Kalyana Chakravarthy Veluvolu
      Pages 140-147
    5. Yulian Cao, Wenfeng Li, W. Art Chaovalitwongse
      Pages 148-157

Other volumes

  1. Advances in Swarm Intelligence
    8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part I
  2. 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II

About these proceedings

Introduction

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. 
The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows:

Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. 
Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. 

Keywords

artificial intelligence genetic algorithms evolutionary algorithms particle swarm optimization pso differential evolution learning algorithms robots wireless telecommunication systems meta heuristics wireless sensor networks telecommunication networks constrained optimization

Editors and affiliations

  • Ying Tan
    • 1
  • Hideyuki Takagi
    • 2
  • Yuhui Shi
    • 3
  1. 1.Peking UniversityBeijingChina
  2. 2.Kyushu UniversityFukuokaJapan
  3. 3.Southern University of Science and TechnologyShenzhenChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61824-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61823-4
  • Online ISBN 978-3-319-61824-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book