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Advances in Swarm Intelligence

4th International Conference, ICSI 2013, Harbin, China, June 12-15, 2013, Proceedings, Part II

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Ying Tan

    1. Key Laboratory of Machine Perception (MOE), School of lectronics Engineering and Computer Science, Department of Machine Intelligence, Peking University, Beijing, China

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  2. Yuhui Shi

    1. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

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  3. Hongwei Mo

    1. Automation College, Harbin Engineering University, Harbin, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7929)

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

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Conference proceedings info: ICSI 2013.

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Table of contents (63 papers)

  1. Front Matter

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  2. Hybrid Algorithms

    1. Hybrid Gravitational Search and Clonal Selection Algorithm for Global Optimization

      • Shangce Gao, Hongjian Chai, Beibei Chen, Gang Yang
      Pages 1-10

    2. A Hybrid Genetic Programming with Particle Swarm Optimization

      • Feng Qi, Yinghong Ma, Xiyu Liu, Guangyong Ji
      Pages 11-18

    3. A Physarum Network Evolution Model Based on IBTM

      • Yuxin Liu, Zili Zhang, Chao Gao, Yuheng Wu, Tao Qian
      Pages 19-26

    4. Cultural Algorithms for the Set Covering Problem

      • Broderick Crawford, Ricardo Soto, Eric Monfroy
      Pages 27-34

    5. Impulse Engine Ignition Algorithm Based on Genetic Particle Swarm Optimization

      • Xiaolong Liang, Zhonghai Yin, Yali Wang, Qiang Sun
      Pages 35-43

  3. Swarm-Robot and Multi-agent Systems

    1. Learning by Imitation for the Improvement of the Individual and the Social Behaviors of Self-organized Autonomous Agents

      • Abdelhak Chatty, Philippe Gaussier, Ilhem Kallel, Philippe Laroque, Adel M. Alimi
      Pages 44-52

    2. An Indexed K-D Tree for Neighborhood Generation in Swarm Robotics Simulation

      • Zhongyang Zheng, Ying Tan
      Pages 53-62

    3. Agent-Based Social Simulation and PSO

      • Andreas Janecek, Tobias Jordan, Fernando Buarque de Lima-Neto
      Pages 63-73

    4. Multi-agent Oriented Stable Payoff with Cooperative Game

      • Tianwen Li, Feng Ma, Weiyi Liu
      Pages 74-81

  5. Data Mining Methods

    1. A Locality Sensitive K-Means Clustering Method Based on Genetic Algorithms

      • Lei Gu
      Pages 114-119

    2. Using Graph Clustering for Community Discovery in Web-Based Social Networks

      • Jackson Gomes Souza, Edeilson Milhomem Silva, Parcilene Fernandes Brito, José Alfredo F. Costa, Ana Carolina Salgado, Silvio R. L. Meira
      Pages 120-129

    3. Application of Dynamic Rival Penalized Competitive Learning on the Clustering Analysis of Seismic Data

      • Hui Wang, Yan Li, Lei Li
      Pages 130-136

    4. An Online Trend Analysis Method for Measuring Data Based on Historical Data Clustering

      • Jianfeng Qu, Maoyun Guo, Yi Chai, Zhimin Yang, Tao Zou, Tian Lan et al.
      Pages 137-145

    5. Measuring Micro-blogging User Influence Based on User-Tweet Interaction Model

      • Dong Liu, Quanyuan Wu, Weihong Han
      Pages 146-153

    6. Discover Community Leader in Social Network with PageRank

      • Rui Wang, Weilai Zhang, Han Deng, Nanli Wang, Qing Miao, Xinchao Zhao
      Pages 154-162
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Other volumes

  1. Advances in Swarm Intelligence

  2. Advances in Swarm Intelligence

Keywords

About this book

This book and its companion volume, LNCS vols. 7928 and 7929 constitute the proceedings of the 4th International Conference on Swarm Intelligence, ICSI 2013, held in Harbin, China in June 2013. The 129 revised full papers presented were carefully reviewed and selected from 268 submissions. The papers are organized in 22 cohesive sections covering all major topics of swarm intelligence research and developments. The topics covered in this volume are: hybrid algorithms, swarm-robot and multi-agent systems, support vector machines, data mining methods, system and information security, intelligent control, wireless sensor network, scheduling and path planning, image and video processing, and other applications.

Editors and Affiliations

  • Key Laboratory of Machine Perception (MOE), School of lectronics Engineering and Computer Science, Department of Machine Intelligence, Peking University, Beijing, China

    Ying Tan

  • Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  • Automation College, Harbin Engineering University, Harbin, China

    Hongwei Mo

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