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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
    3. Nur Farraliza Mansor, Zuraida Abal Abas, Ahmad Fadzli Nizam Abdul Rahman, Abdul Samad Shibghatullah, Safiah Sidek
      Pages 181-195
    4. Joong Hoon Kim, Young Hwan Choi, Thi Thuy Ngo, Jiho Choi, Ho Min Lee, Yeon Moon Choo et al.
      Pages 197-205
    5. Joong Hoon Kim, Young Hwan Choi, Thi Thuy Ngo, Jiho Choi, Ho Min Lee, Yeon Moon Choo et al.
      Pages 207-213
  5. Other Nature-Inspired Algorithms

  6. Related Areas and Computational Intelligence

    1. Front Matter
      Pages 267-267
    2. Xujun Zhou, Xianxia Zhang, Bing Wang
      Pages 269-278
    3. Bo-Wen Yang, Mei-Chen Wu, Chiou-Hung Lin, Chiung-Fen Huang, An-Pin Chen
      Pages 285-294
    4. Zoltan Horvath, Ildiko Jenak, Tianhang Wu, Cui Xuan
      Pages 305-313
  7. Optimization in Civil Engineering

    1. Front Matter
      Pages 315-315
    2. Kyunguk Na, Dongseop Lee, Hyungi Lee, Kyoungsik Jung, Hangseok Choi
      Pages 329-340
    3. Dongmin Lee, Hyunsu Lim, Myungdo Lee, Hunhee Cho, Kyung-In Kang
      Pages 341-352
    4. Sina Raeisi, S. Jamshid Mousavi, Mahmoud Taleb Beidokhti, Bentolhoda A. Rousta, Joong Hoon Kim
      Pages 353-363
    5. Nasrin Rafiee Anzab, S. Jamshid Mousavi, Bentolhoda A. Rousta, Joong Hoon Kim
      Pages 365-375
    6. Young-wook Jung, Shin-in Han, Deokjun Jo
      Pages 385-394
    7. Ramin Mansouri, Hasan Torabi, Hosein Morshedzadeh
      Pages 403-419
  8. Multi-objectives Variants of HSA

    1. Front Matter
      Pages 421-421
    2. S. Jamshid Mousavi, Kourosh Behzadian, Joong Hoon Kim, Zoran Kapelan
      Pages 447-457

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
  • Buy this book on publisher's site
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