Advances in Swarm Intelligence

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

  • Ying Tan
  • Yuhui Shi
  • Kay Chen Tan
Conference proceedings ICSI 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6146)

Table of contents

  1. Front Matter
  2. Fuzzy Methods

    1. Yankui Liu, Xin Zhang
      Pages 1-8
    2. Xiaodong Dai, Ying Liu, Rui Qin
      Pages 9-16
    3. Dongcai Qu, Jihong Cheng, Wanli Dong, Ruizhi Zhang
      Pages 27-34
    4. Xiaohong Wu, Bin Wu, Jun Sun, Haijun Fu, Jiewen Zhao
      Pages 35-42
    5. Lei Zuo, Ligang Hou, Wang Zhang, Shuqin Geng, Wucheng Wu
      Pages 51-57
  3. Applications of Computational Intelligence Algorithms

  4. Signal Processing and Information Security

Other volumes

  1. First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I
  2. Advances in Swarm Intelligence
    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 Engineering, Engineering Drive 3, 4 Engineering Drive 3National University of SingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13498-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13497-5
  • Online ISBN 978-3-642-13498-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book