Literature Survey on Harmony Search for feature selection

Authors

  • Chatterjee P Department of Computer Science, Pailan College of Management & Technology, Kolkata, India
  • Singh D Department of Computer Science, JIS College of Engineering, Kalyani, West Bengal, India
  • Samaddar A.B Department of Computer Science, JIS College of Engineering, Kalyani, West Bengal, India
  • Pal B Department of Computer Science, JIS University, Agarpara, West Bengal, India

Keywords:

Harmony search, feature selection, optimization, pitch adjustment, bandwidth and harmony memory

Abstract

A new HS (Harmony Search) meta-heuristic algorithm has been conceptualized using the musical process of searching or a perfect state of harmony. Musical performances seek to find pleasing harmony (a perfect state) as determined by an aesthetic standard, just as the optimization process seeks to find a global solution (a perfect state) as determined by an objective function. The pitch of each musical instrument determines the aesthetic quality; just as the objective function value as determined by the set of values assigned to each decision variable. The new HS (Harmony Search) meta-heuristic algorithm has been derived based on natural musical performance processes that occur when a musician searches for a better state of harmony, such as during jazz improvisation. In this paper, the concept of harmony search algorithm has been used in feature selection and based on it; literature survey for the recent few years has been done.

References

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Published

2025-11-26

How to Cite

[1]
P. Chatterjee, D. Singh, A. Samaddar, and B. Pal, “Literature Survey on Harmony Search for feature selection”, Int. J. Comp. Sci. Eng., vol. 7, no. 18, pp. 106–111, Nov. 2025.

Issue

Vol. 7 No. 18 (2019): IJCSE Special Issue May Edition

Section

Survey Article

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