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Advances in Swarm Intelligence

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

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Ying Tan

    1. Peking University, Beijing, China

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  2. Hideyuki Takagi

    1. Kyushu University, Fukuoka, Japan

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  3. Yuhui Shi

    1. Southern University of Science and Technology, Shenzhen, China

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  4. Ben Niu

    1. Shenzhen University, Shenzhen, China

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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)

Included in the following conference series:

Conference proceedings info: ICSI 2017.

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Table of contents (67 papers)

  1. Front Matter

    Pages I-XXVII
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  2. Multi-objective Optimization

    1. Front Matter

      Pages 1-1
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    2. A Parametric Study of Crossover Operators in Pareto-Based Multiobjective Evolutionary Algorithm

      • Shohei Maruyama, Tomoaki Tatsukawa
      Pages 3-14

    3. Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution

      • Yan Pei, Jia Hao
      Pages 15-22

    4. On Performance Improvement Based on Restart Meta-Heuristic Implementation for Solving Multi-objective Optimization Problems

      • Christina Brester, Ivan Ryzhikov, Eugene Semenkin
      Pages 23-30

    5. Using Multi-objective Evolutionary Algorithm to Solve Dynamic Environment and Economic Dispatch with EVs

      • Boyang Qu, Baihao Qiao, Yongsheng Zhu, Yuechao Jiao, Junming Xiao, Xiaolei Wang
      Pages 31-39

    6. Improved Interval Multi-objective Evolutionary Optimization Algorithm Based on Directed Graph

      • Xiaoyan Sun, Pengfei Zhang, Yang Chen, Yong Zhang
      Pages 40-48

    7. A Novel Linear Time Invariant Systems Order Reduction Approach Based on a Cooperative Multi-objective Genetic Algorithm

      • Ivan Ryzhikov, Christina Brester, Eugene Semenkin
      Pages 49-56

    8. Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms

      • Frikkie Snyman, Mardé Helbig
      Pages 57-66

  3. Portfolio Optimization

    1. Front Matter

      Pages 67-67
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    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

  4. Community Detection

    1. Front Matter

      Pages 85-85
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    2. Community Detection Under Exponential Random Graph Model: A Metaheuristic Approach

      • Tai-Chi Wang, Frederick Kin Hing Phoa
      Pages 87-98

    3. 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

    4. The Design and Development of the Virtual Learning Community for Teaching Resources Personalized Recommendation

      • Bo Song, Haihui Wu, Xiaomei Li, Liyan Guo, Chang Liu
      Pages 109-118

    5. 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

  5. Multi-agent Systems and Swarm Robotics

    1. Front Matter

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

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

    3. Passive Field Dynamics Method: An Advanced Physics-Based Approach for Formation Control of Robot Swarm

      • Zhu Weixu, Yuan Zhiyong
      Pages 141-148
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Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

Keywords

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

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