Advances in Swarm Intelligence

7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II

  • Ying Tan
  • Yuhui Shi
  • Li Li

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9713)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9713)

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. Scheduling and Planning

  3. Machine Learning Methods

    1. Front Matter
      Pages 77-77
    2. Thembinkosi Nkonyana, Bhekisipho Twala
      Pages 79-88
    3. Taiguo Qu, Zixing Cai
      Pages 97-104
  4. Clustering Algorithm

    1. Front Matter
      Pages 105-105
    2. Junfeng Chen, Jingyu Wang, Shi Cheng, Yuhui Shi
      Pages 115-122
    3. Ching Yi Chen, Ping-Yu Hsu, Ming Shien Cheng, Jui Yi Chung, Ming Chia Hsu
      Pages 123-131
    4. Weiwei Yu, Yangyang Feng, Weiyu Liang, Runxiao Wang, Kurosh Madani
      Pages 132-140
    5. Mingxin Liang, Xianghua Li, Zili Zhang
      Pages 141-149
    6. Vikas Palakonda, Rammohan Mallipeddi
      Pages 150-157

Other volumes

  1. 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I
  2. Advances in Swarm Intelligence
    7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II

About these proceedings

Introduction

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems. 

Keywords

bio-inspired systems data mining genetic algorithm machine learning particle swarm optimization algorithms ant colony optimization autonomous robot cellular networks cloud computing complex network constrained optimization evolutionary algorithm fuzzy logic hybrid learning multi-agent design neural networks optimization pattern recognition self-organizing map

Editors and affiliations

  • Ying Tan
    • 1
  • Yuhui Shi
    • 2
  • Li Li
    • 3
  1. 1.Peking UniversityBeijingChina
  2. 2.Xi'an Jiaotong-Liverpool UniversitySuzhouChina
  3. 3.Shenzen UniversityShenzhenChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-41009-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-41008-1
  • Online ISBN 978-3-319-41009-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book