Harmony Search Algorithm

Proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015)

  • Joong Hoon Kim
  • Zong Woo Geem

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 382)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Various Aspects of Optimization Algorithms

    1. Front Matter
      Pages 1-1
    2. Joong Hoon Kim, Ho Min Lee, Do Guen Yoo
      Pages 3-10
    3. Joong Hoon Kim, Ho Min Lee, Donghwi Jung, Ali Sadollah
      Pages 11-17
    4. Krithikaa Mohanarangam, Rammohan Mallipeddi
      Pages 19-28
    5. Jinxiang Pian, Dan Wang, Yue Zhou, Jinxin Liu, Yuanwei Qi
      Pages 29-38
    6. Hexia Meng, Bing Wang, Yabing Nie, Xuedong Xia, Xianxia Zhang
      Pages 39-51
    7. Anupam Yadav, Neha Yadav, Joong Hoon Kim
      Pages 53-62
    8. Jing Dai, Peng Qu, Meng Shao, Hui Zhang, Yongming Mao
      Pages 69-75
    9. Jing Dai, Tianqi Wang, Meng Shao, Peng Qu
      Pages 77-82
  3. Large Scale Applications of HSA

    1. Front Matter
      Pages 95-95
    2. Jin Deng, Ling Wang, Jingnan Shen, Xiaolong Zheng
      Pages 97-108
    3. Yabing Nie, Bing Wang, Xianxia Zhang
      Pages 109-120
    4. Javier Del Ser, Miren Nekane Bilbao, Cristina Perfecto, Sancho Salcedo-Sanz
      Pages 121-131
    5. Cristina Perfecto, Miren Nekane Bilbao, Javier Del Ser, Armando Ferro, Sancho Salcedo-Sanz
      Pages 133-145
    6. Donghwi Jung, Jiho Choi, Young Hwan Choi, Joong Hoon Kim
      Pages 147-152
  4. Recent Variants of HSA

    1. Front Matter
      Pages 153-153
    2. Ali Sadollah, Ho Min Lee, Do Guen Yoo, Joong Hoon Kim
      Pages 155-168

About these proceedings

Introduction

The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community.  This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields.

Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications.  The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques.

 

This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.

Keywords

Ant Colony Optimization Cuckoo Search Evolutionary computing Strategies Firefly Algorithm Genetic Algorithm Harmony Search Algorithm (HSA) Hybrid and multi-objective HSA variants ICHSA 2015 Proceedings Particle Swarm Optimization Simulated Annealing Soft computing techniques

Editors and affiliations

  • Joong Hoon Kim
    • 1
  • Zong Woo Geem
    • 2
  1. 1.Civil, Environmental and Architectural EngineeringKorea UniversitySeoulKorea (Republic of)
  2. 2.Energy ITGachon UniversitySeongnam-SiKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-47926-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-47925-4
  • Online ISBN 978-3-662-47926-1
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book
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