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  • Conference proceedings
  • © 2017

Advances in Swarm Intelligence

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

Editors:

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10386)

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

Conference series link(s): ICSI: International Conference on Swarm Intelligence

Conference proceedings info: ICSI 2017.

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Table of contents (67 papers)

  1. Front Matter

    Pages I-XXVII
  2. Portfolio Optimization

    1. Front Matter

      Pages 67-67
    2. Multi-objective Comprehensive Learning Bacterial Foraging Optimization for Portfolio Problem

      • Ben Niu, Wenjie Yi, Lijing Tan, Jia Liu, Ya Li, Hong Wang
      Pages 69-76
    3. Metaheuristics for Portfolio Optimization

      • Sarah El-Bizri, Nashat Mansour
      Pages 77-84
  3. Community Detection

    1. Front Matter

      Pages 85-85
    2. An Enhanced Particle Swarm Optimization Based on Physarum Model for Community Detection

      • Zhengpeng Chen, Fanzhen Liu, Chao Gao, Xianghua Li, Zili Zhang
      Pages 99-108
    3. Effects of Event Sentiment on Product Recommendations in a Microblog Platform

      • Ping-Yu Hsu, Ming-Chia Hsu, Tien-Hao Wei, Yao-Chung Lo, Chin-Chun Lo, Ming Shien Cheng et al.
      Pages 119-131
  4. Multi-agent Systems and Swarm Robotics

    1. Front Matter

      Pages 133-133
    2. Solar Irradiance Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet

      • Ekaterina A. Engel, Igor V. Kovalev
      Pages 135-140

Other Volumes

  1. Advances in Swarm Intelligence

About this book

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. 

Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

  • Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  • Shenzhen University, Shenzhen, China

    Ben Niu

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access