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Advances in Swarm Intelligence

First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I

  • Ying Tan
  • Yuhui Shi
  • Kay Chen Tan

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

Table of contents

  1. Front Matter
  2. Theoretical Analysis of Swarm Intelligence Algorithms

    1. Zvi Retchkiman Konigsberg
      Pages 1-10
    2. Di Wu, Rongyi Cui, Changrong Li, Guangjun Song
      Pages 27-33
    3. Tanggong Chen, Lijie Zhang, Lingling Pang
      Pages 34-41
    4. Sanza Kazadi, James Yang, James Park, Andrew Park
      Pages 42-51
    5. Kun Liu, Ying Tan, Xingui He
      Pages 52-59
  3. PSO Algorithms

    1. Yuelin Gao, Fanfan Lei, Miaomiao Wang
      Pages 60-67
    2. Quande Qin, Rongjun Li, Ben Niu, Li Li
      Pages 68-77
    3. Junqi Zhang, Kun Liu, Ying Tan
      Pages 78-85
    4. Jiaquan Gao, Hao Li, Luoke Hu
      Pages 94-101
    5. Yu Liu, Zhaofa Yan, Wentao Li, Mingwei Lv, Yuan Yao
      Pages 110-119
    6. Cheng-Dar Liou, Chun-Hung Liu
      Pages 128-134
    7. Yu Du, Haibin Duan, Renjie Liao, Xihua Li
      Pages 135-143
  4. Applications of PSO Algorithms

    1. Liang Wang, Zhijie Song
      Pages 152-159
    2. Jingzhou Zhang, Pengfei Huo, Jionghua Teng, Xue Wang, Suhuan Wang
      Pages 160-166
    3. Noor Elaiza Abdul Khalid, Mazani Manaf
      Pages 175-182
    4. Yun Chen, Hanhong Zhu
      Pages 183-190
    5. Jianhua Zhang, Yingxin Wang, Rui Wang, Guolian Hou
      Pages 191-197
    6. Chunqiu Wan, Jun Wang, Geng Yang, Xing Zhang
      Pages 198-205
    7. David A. Braude, Anton van Wyk
      Pages 206-213
  5. ACO Algorithms

    1. M. Sami Soliman, Guanzheng Tan
      Pages 231-240
    2. Yanli Hu, Lining Xing, Weiming Zhang, Weidong Xiao, Daquan Tang
      Pages 241-248
    3. Jie Xiong, Xiaohong Meng, Caiyun Liu
      Pages 249-256
  6. Applications of ACO Algorithms

    1. Yonghua Wu, Yihua Hu, Wuhu Lei, Nanxiang Zhao, Tao Huang
      Pages 265-272
    2. Jihong Zhu, Benlian Xu, Fei Wang, Zhiquan Wang
      Pages 273-280
    3. Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala
      Pages 281-289
    4. JinJiang Li, Da Yuan, Zhen Hua, Hui Fan
      Pages 290-297
    5. Xuepeng Jiang, Bei Hong
      Pages 298-305
    6. Hanhong Zhu, Yun Chen, Kesheng Wang
      Pages 306-313
  7. Artificial Immune System

    1. Chunlin Liang, Yindie Hong, Yuefeng Chen, Lingxi Peng
      Pages 314-320
    2. Syed Ali Abbas Hamdani, Sarah Shafiq, Farrukh Aslam Khan
      Pages 338-346
  8. Novel Swarm-Based Optimization Algorithms

    1. Ying Tan, Yuanchun Zhu
      Pages 355-364
    2. Qingshan Li, Dan Jiang, Haishun Yun, He Liu
      Pages 390-396
    3. Bo Qin, Zhanbin Wu, Fang Su, Titi Pang
      Pages 397-404

Other volumes

  1. Advances in Swarm Intelligence
    First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I
  2. First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part II

About these proceedings

Introduction

This book and its companion volume, LNCS vols. 6145 and 6146, constitute the proceedings of the International Conference on Swarm Intelligence (ICSI 2010) held in Beijing, the capital of China, during June 12-15, 2010. ICSI 2010 was the ?rst gathering in the world for researchers working on all aspects of swarm intelligence, and providedan academic forum for the participants to disseminate theirnewresearch?ndingsanddiscussemergingareasofresearch.Italsocreated a stimulating environment for the participants to interact and exchange inf- mation on future challenges and opportunities of swarm intelligence research. ICSI 2010 received 394 submissions from about 1241 authors in 22 countries and regions (Australia, Belgium, Brazil, Canada, China, Cyprus, Hong Kong, Hungary, India, Islamic Republic of Iran, Japan, Jordan, Republic of Korea, Malaysia, Mexico, Norway, Pakistan, South Africa, Chinese Taiwan, UK, USA, Vietnam) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Each submission was reviewed by at least three reviewers. Based on rigorous reviews by the Program Committee members and reviewers, 185 high-quality papers were selected for publication in the proceedings with the acceptance rate of 46.9%. The papers are organized in 25 cohesive sections covering all major topics of swarm intelligence research and development.

Keywords

algorithms computational intelligence data mining evolution evolutionary computation genetic algorithm learning machine learning multi-objective optimization optimization robot swarm intelligence

Editors and affiliations

  • Ying Tan
    • 1
  • Yuhui Shi
    • 2
  • Kay Chen Tan
    • 3
  1. 1.Key Laboratory of Machine Perception (MOE), Department of Machine IntelligencePeking UniversityBeijingChina
  2. 2.Research and Postgraduate OfficeXi’an Jiaotong-Liverpool UniversitySuzhoumChina
  3. 3.Department of Electrical and Computer EngineeringNational University of SingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13495-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13494-4
  • Online ISBN 978-3-642-13495-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site