Advances in Swarm Intelligence

5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I

  • Ying Tan
  • Yuhui Shi
  • Carlos A. Coello Coello
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8794)

Table of contents

  1. Front Matter
  2. Novel Swarm-Based Search Methods

    1. Farshad Arvin, Ali Emre Turgut, Nicola Bellotto, Shigang Yue
      Pages 1-8
    2. Olfa Beltaief, Sameh El Hadouaj, Khaled Ghedira
      Pages 9-18
    3. Qiang Sun, XiaoLong Liang, ZhongHai Yin, YaLi Wang
      Pages 36-43
    4. He Jiang, Shuwei Zhang, Zhilei Ren, Xiaochen Lai, Yong Piao
      Pages 44-52
  3. Novel Optimization Algorithm

    1. Xinchao Zhao, Junling Hao
      Pages 64-73
    2. Xiujuan Lei, Mingyu Du, Jin Xu, Ying Tan
      Pages 74-85
    3. Xianbing Meng, Yu Liu, Xiaozhi Gao, Hengzhen Zhang
      Pages 86-94
    4. Hongwei Mo, Lili Liu, Mengjiao Geng
      Pages 103-114
    5. Hongwei Mo, Lili Liu, Mengjiao Geng
      Pages 115-125
  4. Particle Swarm Optimization

    1. Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio F. Campana, Daniele Peri, Umberto Iemma et al.
      Pages 126-133
    2. Fenglin Li, Jian Guo
      Pages 142-149
    3. Ben Niu, Huali Huang, Bin Ye, Lijing Tan, Jane Jing Liang
      Pages 150-157
    4. Frederick Kin Hing Phoa, Yuan-Lung Lin, Tai-Chi Wang
      Pages 158-164
  5. Ant Colony Optimization for Travelling Salesman Problem

Other volumes

  1. Advances in Swarm Intelligence
    5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I
  2. 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part II

About these proceedings

Introduction

This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.

Keywords

ant colony optimization augmented reality automated and humanized design evolutionary algorithms genetic algorithms hybrid model machine learning machine vision mathematical expression recognition and retrieval medical diagnosis neural networks optimization algorithms parallel metaheuristics quantum particle optimization reinforcement learning steganography swarm robotics watermarking

Editors and affiliations

  • Ying Tan
    • 1
  • Yuhui Shi
    • 2
  • Carlos A. Coello Coello
    • 3
  1. 1.Key Laboratory of Machine Perception (MOE)Peking UniversityBeijingChina
  2. 2.Department of Electrical & Electronic EngineeringXi’an Jiaotong-Liverpool UniversitySuzhouChina
  3. 3.Computer Science DepartmentCINVESTAV-IPNMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11857-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11856-7
  • Online ISBN 978-3-319-11857-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book