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Harmony Search Algorithm

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

Editors:

  • Offers a up-to-date reference for the research community working on Harmony Search

  • Presents views from worldwide experts on evolution- and nature-inspired heuristics

  • Describes novel applications of Harmony Search in industry and civil engineering

  • Considers new research directions, including the hybridization of Harmony Search with Big Data predictive models

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

Conference series link(s): ICHSA: International Conference on Harmony Search Algorithm

Conference proceedings info: ICHSA 2016.

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  • ISBN: 978-981-10-3728-3
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  • Tax calculation will be finalised during checkout
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Table of contents (35 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
    2. Sensitivity Analysis on Migration Parameters of Parallel Harmony Search

      • Ari Hong, Donghwi Jung, Jiho Choi, Joong Hoon Kim
      Pages 3-7
    3. Multi-layered Harmony Search Algorithm: Introduction of a Novel and Efficient Structure

      • Ho Min Lee, Do Guen Yoo, Eui Hoon Lee, Young Hwan Choi, Joong Hoon Kim
      Pages 8-14
    4. Application of Self-adaptive Method in Multi-objective Harmony Search Algorithm

      • Young Hwan Choi, Ho Min Lee, Do Guen Yoo, Joong Hoon Kim
      Pages 15-21
    5. A Comparative Study of Exploration Ability of Harmony Search Algorithms

      • Anupam Yadav, Neha Yadav, Joong Hoon Kim
      Pages 22-31
  3. New Bio-inspired Heuristics

    1. Front Matter

      Pages 33-33
    2. The Extraordinary Particle Swarm Optimization and Its Application in Constrained Engineering Problems

      • Thi Thuy Ngo, Ali Sadollah, Do Guen Yoo, Yeon Moon Choo, Sang Hoon Jun, Joong Hoon Kim
      Pages 35-41
    3. A Multi Dynamic Binary Black Hole Algorithm Applied to Set Covering Problem

      • José García, Broderick Crawford, Ricardo Soto, Pablo García
      Pages 42-51
    4. ACO Based Model Checking Extended by Smell-Like Pheromone with Hop Counts

      • 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. On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics

      • Jesus L. Lobo, Javier Del Ser, Esther Villar-Rodriguez, Miren Nekane Bilbao, Sancho Salcedo-Sanz
      Pages 67-77
    3. A Novel Grouping Harmony Search Algorithm for Clustering Problems

      • Itziar Landa-Torres, Diana Manjarres, Sergio Gil-López, Javier Del Ser, Sancho Salcedo-Sanz
      Pages 78-90
    4. A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics

      • Ignacio (Iñaki) Olabarrieta, Ana I. Torre-Bastida, Ibai Laña, Sergio Campos-Cordobes, Javier Del Ser
      Pages 101-111
    5. Numerical Solution of Boundary Value Problems Using Artificial Neural Networks and Harmony Search

      • 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. Scheduling Optimisation of a Manufacturing Design Area: A Case Study

      • C. A. Garcia-Santiago, Anna Rotondo, Fergus Quilligan
      Pages 121-133
    3. Bat Algorithm for Coordinated Exploration in Swarm Robotics

      • Patricia Suárez, Andrés Iglesias
      Pages 134-144

Other Volumes

  1. Harmony Search Algorithm

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

About this book

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
  • algorithm analysis and problem complexity

Editors and Affiliations

  • TECNALIA, University of the Basque Country ‎(UPV/EHU), Basque Center for Applied Mathematics (BCAM‎), Bilbao, Spain

    Javier Del Ser

About the editor

Dr. Javier (Javi) Del Ser received his first PhD degree (cum laude) in Electrical Engineering from the University of Navarra (Spain) in October 2006, and a second PhD degree (summa cum laude) in Signal Processing from the University of Alcala (Spain) in May 2013. From 2003 to 2005 he was a teaching assistant at TECNUN (University of Navarra, Spain). From August to December 2007 he was a visiting scholar at University of Delaware (USA), and from February to September 2008 he was an associate professor at the University of Mondragon, Spain. In October 2008 he joined Fundacion Robotiker as a senior research scientist at the Telecom Unit.

Currently Javier is the leading researcher of the OPTIMA area at TECNALIA RESEARCH & INNOVATION, an adjunct lecturer at the University of the Basque Country (EHU/UPV)and an external researcher at Basque Centre of Apllied Mathematics (BCAM). His research interests are focused on artificial intelligence, machine learning and in general, data analytics for paradigms arising in diverse fields such as energy, telecommunications, mobility and operations research, among many others. In these fields he has published more than 140 technical papers and conferences, co-supervised 6 PhD and 13 M.Sc. theses, edited 2 books and invented 4 patents. He has been granted twice with the Torres Quevedo grant from the Spanish Ministry of Science and Innovation (2007 & 2009), and is a senior member of the IEEE. Recently he has been awarded the “Talent of Bizkaia” prize for his outstanding professional curriculum.

Bibliographic Information

  • Book Title: Harmony Search Algorithm

  • Book Subtitle: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)

  • Editors: Javier Del Ser

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-981-10-3728-3

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2017

  • License: CC BY

  • Softcover ISBN: 978-981-10-3727-6

  • eBook ISBN: 978-981-10-3728-3

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 366

  • Number of Illustrations: 104 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Algorithms

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-10-3728-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 249.99
Price excludes VAT (USA)