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Harmony Search Algorithm

Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)

  • Javier Del Ser
Conference proceedings ICHSA 2017

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 514)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Fundamental Analysis and Advances of Harmony Search

    1. Front Matter
      Pages 1-1
    2. Ari Hong, Donghwi Jung, Jiho Choi, Joong Hoon Kim
      Pages 3-7
    3. Ho Min Lee, Do Guen Yoo, Eui Hoon Lee, Young Hwan Choi, Joong Hoon Kim
      Pages 8-14
    4. Young Hwan Choi, Ho Min Lee, Do Guen Yoo, Joong Hoon Kim
      Pages 15-21
    5. Anupam Yadav, Neha Yadav, Joong Hoon Kim
      Pages 22-31
  3. New Bio-inspired Heuristics

    1. Front Matter
      Pages 33-33
    2. Thi Thuy Ngo, Ali Sadollah, Do Guen Yoo, Yeon Moon Choo, Sang Hoon Jun, Joong Hoon Kim
      Pages 35-41
    3. José García, Broderick Crawford, Ricardo Soto, Pablo García
      Pages 42-51
    4. Keiichiro Takada, Munehiro Takimoto, Tsutomu Kumazawa, Yasushi Kambayashi
      Pages 52-63
  4. Harmony Search and Data Mining/Big Data

    1. Front Matter
      Pages 65-65
    2. Jesus L. Lobo, Javier Del Ser, Esther Villar-Rodriguez, Miren Nekane Bilbao, Sancho Salcedo-Sanz
      Pages 67-77
    3. Itziar Landa-Torres, Diana Manjarres, Sergio Gil-López, Javier Del Ser, Sancho Salcedo-Sanz
      Pages 78-90
    4. Ignacio (Iñaki) Olabarrieta, Ana I. Torre-Bastida, Ibai Laña, Sergio Campos-Cordobes, Javier Del Ser
      Pages 101-111
    5. Neha Yadav, Thi Thuy Ngo, Anupam Yadav, Joong Hoon Kim
      Pages 112-118
  5. Harmony Search and Scheduling/Planning

    1. Front Matter
      Pages 119-119
    2. C. A. Garcia-Santiago, Anna Rotondo, Fergus Quilligan
      Pages 121-133
    3. Patricia Suárez, Andrés Iglesias
      Pages 134-144
  6. Harmony Search and Telecommunications

    1. Front Matter
      Pages 155-155
    2. Miren Nekane Bilbao, Cristina Perfecto, Javier Del Ser
      Pages 168-178
    3. Yasmine Lahsinat, Dalila Boughaci, Belaid Benhamou
      Pages 179-189
    4. Adrian Aybar-Ruiz, Lucas Cuadra, Javier Del Ser, Jose Antonio Portilla-Figueras, Sancho Salcedo-Sanz
      Pages 190-199
    5. Iker Sobron, Borja Alonso, Manuel Velez, Javier Del Ser
      Pages 200-209
  7. Harmony Search and Engineering Optimization

    1. Front Matter
      Pages 211-211
    2. Gebrail Bekdaş, Sinan Melih Nigdeli
      Pages 213-221
    3. Sinan Melih Nigdeli, Gebrail Bekdaş
      Pages 232-239
    4. S. J. Mousavi, P. Nakhaei, Ali Sadollah, Joong Hoon Kim
      Pages 261-270
    5. Gebrail Bekdaş, Sinan Melih Nigdeli, Xin-She Yang
      Pages 271-279
  8. Multidisciplinary Applications of Harmony Search

    1. Front Matter
      Pages 281-281
    2. Izaskun Mendia, Sergio Gil-López, Javier Del Ser, Ana González Bordagaray, Jesús García Prado, Manuel Vélez
      Pages 283-293
    3. Imanol Andonegui, Itziar Landa-Torres, Diana Manjarres, Angel J. Garcia-Adeva
      Pages 294-303
    4. Diana Manjarres, Lara Mabe, Xabat Oregi, Itziar Landa-Torres, Eneko Arrizabalaga
      Pages 320-332
  9. Back Matter
    Pages 365-366

About these proceedings

Introduction

This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation & mobility and health, among many others and focus not only on its cross-domain applicability, but also on its core evolutionary operators, including elements inspired from other meta-heuristics.           

The global scientific community is witnessing an upsurge in groundbreaking, new advances in all areas of computational intelligence, with a particular flurry of research focusing on evolutionary computation and bio-inspired optimization. Observed processes in nature and sociology have provided the basis for innovative algorithmic developments aimed at leveraging the inherent capability to adapt characterized by various animals, including ants, fireflies, wolves and humans. However, it is the behavioral patterns observed in music composition that motivated the advent of the Harmony Search algorithm, a meta-heuristic optimization algorithm that over the last decade has been shown to dominate other solvers in a plethora of application scenarios.              

The book consists of a selection of the best contributions presented at ICHSA, a major biannual event where leading global experts on meta-heuristic optimization present their latest findings and discuss the past, present, and future of the exciting field of Harmony Search optimization. It provides a valuable reference resource for researchers working in the field of optimization meta-heuristics, and a solid technical base for frontline investigations around this algorithm.


Keywords

Evolutionary Computation Computational Intelligence Soft Computing Meta-heuristic Optimization Harmony Search Nature-inspired Optimization Bio-inspired Computation Hybrid meta-heuristics

Editors and affiliations

  • Javier Del Ser
    • 1
  1. 1.TECNALIA, University of the Basque Country ‎(UPV/EHU), Basque Center for Applied Mathematics (BCAM‎)BilbaoSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-3728-3
  • Copyright Information Springer Nature Singapore Pte Ltd. 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-3727-6
  • Online ISBN 978-981-10-3728-3
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • Buy this book on publisher's site
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