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  • © 2016

Harmony Search Algorithm

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

  • Comprises contributions from academic and industrial researchers at the 2nd International Conference on Harmony Search Algorithm
  • Features the latest developments in the field of soft computing with a special focus on HSA techniques
  • Describes practical applications of the Harmony Search Algorithm in diverse fields such as science, engineering, finance, and industry
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (44 papers)

  1. Front Matter

    Pages i-xi
  2. Various Aspects of Optimization Algorithms

    1. Front Matter

      Pages 1-1
    2. Investigating the Convergence Characteristics of Harmony Search

      • Joong Hoon Kim, Ho Min Lee, Do Guen Yoo
      Pages 3-10
    3. Performance Measures of Metaheuristic Algorithms

      • Joong Hoon Kim, Ho Min Lee, Donghwi Jung, Ali Sadollah
      Pages 11-17
    4. Harmony Search Algorithm with Ensemble of Surrogate Models

      • Krithikaa Mohanarangam, Rammohan Mallipeddi
      Pages 19-28
    5. Precision Motion Control Method Based on Artificial Bee Colony Algorithm

      • Jinxiang Pian, Dan Wang, Yue Zhou, Jinxin Liu, Yuanwei Qi
      Pages 29-38
    6. A Scatter Search Hybrid Algorithm for Resource Availability Cost Problem

      • Hexia Meng, Bing Wang, Yabing Nie, Xuedong Xia, Xianxia Zhang
      Pages 39-51
    7. A Study of Harmony Search Algorithms: Exploration and Convergence Ability

      • Anupam Yadav, Neha Yadav, Joong Hoon Kim
      Pages 53-62
    8. The Design of Kalman Filter for Nano-Positioning Stage

      • Jing Dai, Peng Qu, Meng Shao, Hui Zhang, Yongming Mao
      Pages 69-75
    9. Research on Adaptive Control Algorithm of Nano Positioning Stage

      • Jing Dai, Tianqi Wang, Meng Shao, Peng Qu
      Pages 77-82
  3. Large Scale Applications of HSA

    1. Front Matter

      Pages 95-95
    2. An Improved Harmony Search Algorithm for the Distributed Two Machine Flow-Shop Scheduling Problem

      • Jin Deng, Ling Wang, Jingnan Shen, Xiaolong Zheng
      Pages 97-108
    3. Hybrid Harmony Search Algorithm for Nurse Rostering Problem

      • Yabing Nie, Bing Wang, Xianxia Zhang
      Pages 109-120
    4. A Harmony Search Approach for the Selective Pick-Up and Delivery Problem with Delayed Drop-Off

      • Javier Del Ser, Miren Nekane Bilbao, Cristina Perfecto, Sancho Salcedo-Sanz
      Pages 121-131
    5. Dandelion-Encoded Harmony Search Heuristics for Opportunistic Traffic Offloading in Synthetically Modeled Mobile Networks

      • Cristina Perfecto, Miren Nekane Bilbao, Javier Del Ser, Armando Ferro, Sancho Salcedo-Sanz
      Pages 133-145
    6. A New Parallelization Scheme for Harmony Search Algorithm

      • 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. Mine Blast Harmony Search and Its Applications

      • Ali Sadollah, Ho Min Lee, Do Guen Yoo, Joong Hoon Kim
      Pages 155-168

About this book

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.

Editors and Affiliations

  • Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  • Energy IT, Gachon University, Seongnam-Si, Korea (Republic of)

    Zong Woo Geem

About the editors

Dr. Joong Hoon Kim is a professor at the School of Civil, Environmental, and Architectural Engineering, Korea University since March 1993. He has earned the B.E. degree in Civil Engineering from Korea University in 1984. He received an M.S.C.E. from Virginia Polytechnic Institute and State University in 1986 and the Doctor of Philosophy from the University of Texas at Austin in 1992. He worked as a faculty associate at Arizona State University from August 1989 to July 1990. He also worked at the Flood Control District of Maricopa County, Arizona, USA, as a branch manager from January 1991 to February 1993. He was Chair of School of Civil, Environmental and Architectural Engineering, Korea University for four years.

Professor Kim is currently managing several government projects including research of “Establishment of Original Technology and Globalization Strategy of Harmony Search Algorithm” funded by National Research Foundation of Korea, and “Technology to Improve Urban Disaster Prevention Performance for Flood Proofing Facilities and Development of Optimal Design & Operation system for Urban drainage network” funded by Natural Hazard Mitigation Research Group, National Emergency Management Agency of Korea.

Dr. Zong Woo Geem is an assistant professor at Gachon University in South Korea. He has obtained B.S. degree in Chung-Ang University in Civil Engineering (1991), Master of Engineering (1995) and Ph.D. (2000) in Water Resources Engineering at Korea University. He invented a music-inspired optimization algorithm, Harmony Search, which has been applied to various scientific and engineering problems, for his Ph.D. dissertation under supervision of Prof. Joong Hoon Kim. He served as an academic advisor in iGlobal University at Annandale, Virginia, USA.

Professor Geem is currently an associate editor of engineering optimization journal and a guest editor of International Journal of Bio-Inspired Computation and

Journal of Applied Mathematics. Besides, he is a member of editorial board of International Journal of Mathematical Modelling and Numerical Optimization. Professor Geem is active reviewer for 74 journals including SCIe journals.

His research interest includes phenomenon-mimicking algorithm and its applications to energy, environment and water fields, and water distribution systems. He has published more than 90 papers in SCI, and SCIe and domestic journals.

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access