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Literature Survey on Harmony Search for feature selection

P. Chatterjee1 , D. Singh2 , A.B. Samaddar3 , B. Pal4

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-18 , Page no. 106-111, May-2019

Online published on May 25, 2019

Copyright © P. Chatterjee, D. Singh, A.B. Samaddar, B. Pal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: P. Chatterjee, D. Singh, A.B. Samaddar, B. Pal, “Literature Survey on Harmony Search for feature selection,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.18, pp.106-111, 2019.

MLA Style Citation: P. Chatterjee, D. Singh, A.B. Samaddar, B. Pal "Literature Survey on Harmony Search for feature selection." International Journal of Computer Sciences and Engineering 07.18 (2019): 106-111.

APA Style Citation: P. Chatterjee, D. Singh, A.B. Samaddar, B. Pal, (2019). Literature Survey on Harmony Search for feature selection. International Journal of Computer Sciences and Engineering, 07(18), 106-111.

BibTex Style Citation:
@article{Chatterjee_2019,
author = {P. Chatterjee, D. Singh, A.B. Samaddar, B. Pal},
title = {Literature Survey on Harmony Search for feature selection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {18},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {106-111},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1341},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1341
TI - Literature Survey on Harmony Search for feature selection
T2 - International Journal of Computer Sciences and Engineering
AU - P. Chatterjee, D. Singh, A.B. Samaddar, B. Pal
PY - 2019
DA - 2019/05/25
PB - IJCSE, Indore, INDIA
SP - 106-111
IS - 18
VL - 07
SN - 2347-2693
ER -

           

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.

Key-Words / Index Term

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

References

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