Advances in Swarm Intelligence

Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part I

  • Ying Tan
  • Yuhui Shi
  • Yi Chai
  • Guoyin Wang

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6728)

Table of contents

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

  3. Particle Swarm Optimization

    1. Yong Duan Song, Lu Zhang, Peng Han
      Pages 86-92
    2. Muhammd Ilyas Menhas, MinRui Fei, Ling Wang, Xiping Fu
      Pages 93-100
    3. Laura Lanzarini, Javier López, Juan Andrés Maulini, Armando De Giusti
      Pages 111-119
    4. Iman Rezazadeh, Mohammad Reza Meybodi, Ahmad Naebi
      Pages 120-129
    5. Yong-wei Zhang, Lei Wang, Qi-di Wu
      Pages 138-146
  4. Applications of PSO Algorithms

    1. Surender Singh Dahiya, Jitender Kumar Chhabra, Shakti Kumar
      Pages 147-156
    2. Chao Wang, Gang Yao, Xin Wang, Yihui Zheng, Lidan Zhou, Qingshan Xu et al.
      Pages 157-164

Other volumes

  1. Advances in Swarm Intelligence
    Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part I
  2. Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part II

About these proceedings

Introduction

The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.

Keywords

cellular automata cloud computing image processing mathematical modeling wireless sensor networks

Editors and affiliations

  • Ying Tan
    • 1
  • Yuhui Shi
    • 2
  • Yi Chai
    • 3
  • Guoyin Wang
    • 4
  1. 1.Key Laboratory of Machine Perception, Department of Machine Intelligence, School of Electronics Engineering and Computer SciencePeking UniversityBeijingChina
  2. 2.Department of Electrical and Electronic EngineeringXi’an Jiaotong-Liverpool UniversitySuzhouChina
  3. 3.Automation CollegeChongqing UniversityChongqingChina
  4. 4.Institute of Computer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqingP.R. China

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-21515-5
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-21514-8
  • Online ISBN 978-3-642-21515-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book