Advances in Swarm Intelligence

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

  • Ying Tan
  • Hideyuki Takagi
  • Yuhui Shi
  • Ben Niu
Conference proceedings ICSI 2017
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10386)

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. Multi-objective Optimization

  3. Portfolio Optimization

    1. Front Matter
      Pages 67-67
    2. Ben Niu, Wenjie Yi, Lijing Tan, Jia Liu, Ya Li, Hong Wang
      Pages 69-76
    3. Sarah El-Bizri, Nashat Mansour
      Pages 77-84
  4. Community Detection

    1. Front Matter
      Pages 85-85
    2. Zhengpeng Chen, Fanzhen Liu, Chao Gao, Xianghua Li, Zili Zhang
      Pages 99-108
    3. Ping-Yu Hsu, Ming-Chia Hsu, Tien-Hao Wei, Yao-Chung Lo, Chin-Chun Lo, Ming Shien Cheng et al.
      Pages 119-131
  5. Multi-agent Systems and Swarm Robotics

Other volumes

  1. 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part I
  2. Advances in Swarm Intelligence
    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 Conference 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
  • Ben Niu
    • 4
  1. 1.Peking UniversityBeijingChina
  2. 2.Kyushu UniversityFukuokaJapan
  3. 3.Southern University of Science and TechnologyShenzhenChina
  4. 4.Shenzhen UniversityShenzhenChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61833-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61832-6
  • Online ISBN 978-3-319-61833-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book