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Exponential Fine-Tuning Harmony Search Algorithm

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Advances in Intelligent Systems and Computing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 268))

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Abstract

This paper gives one kind of new harmony search algorithm–exponential fine-tuning harmony search algorithm. The specific improvement is to use an exponential function to change the generation mode of fine-tuning probability, and thus gives a new harmony. The new algorithm is tested by using the standard test function of cec2005, and compared with other four existing harmony search algorithms. The numerical results show that the new algorithm is very competitive with the other harmony search algorithms.

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Authors and Affiliations

  1. College of Media Engineering, Communication University of Zhejiang, Hangzhou, China

    Lipu Zhang & Xuewen Shen

Authors
  1. Lipu Zhang
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  2. Xuewen Shen
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Corresponding author

Correspondence to Lipu Zhang .

Editor information

Editors and Affiliations

  1. Institute of Intelligent Media Technology, Communication, University of Zhejiang, Hangzhou City, China

    Jie-Fang Zhang

  2. College of Computer Science and Engineering, Shandong University of Science and Technology, Shandong, China

    Chien-Ming Chen

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China

    Shu-Chuan Chu

  4. Department of Radio Communications and Video Technologies, Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhang, L., Shen, X. (2022). Exponential Fine-Tuning Harmony Search Algorithm. In: Zhang, JF., Chen, CM., Chu, SC., Kountchev, R. (eds) Advances in Intelligent Systems and Computing. Smart Innovation, Systems and Technologies, vol 268. Springer, Singapore. https://doi.org/10.1007/978-981-16-8048-9_14

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