Advanced Parameter-Setting-Free Harmony Search Algorithm

Abstract

In this paper, we propose an advanced parameter-setting-free (PSF) scheme to solve the problem of setting the parameters for the harmony search (HS) algorithm. The use of the advanced PSF method solves the problems of the conventional PSF scheme that results from a large number of iterations and shows good results compared to fixing the parameters required for the HS algorithm. In addition, unlike the conventional PSF method, the advanced PSF method does not use additional memory. We expect the advanced PSF method to be applicable to various fields that use the HS algorithm because it reduces the memory utilization for operations while obtaining better results than conventional PSF schemes.

Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems

“…Shaqfa and Orban [27] changed the PAR step of parameter-setting-free HSA (PSFHSA) proposed by Geem and Sim [28] to improve the problem of the parameter-setting of HSA, and used it on the concrete beam design optimization. To enhance the capability of PSFHSA, Jeong et al [29] improved an enhanced form of PSFHSA (APSFHSA) by reducing the extra memory needed throughout the search progression.…”

“…[27] HBHSA PAR, HMCR Both PAR and HMCR are changed to get the balance between diversification and intensification Lin and Li[20] APSFHSA HMCR, PAR, BW An enhanced form of PSFHSA (APSFHSA) by reducing the extra memory requirement throughout the improvisation process Jeong et al[29] …”

A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

“…However, the performance of PSFHSA is not as good as the original HSA. To improve the performance of PSFHSA, Jeong et al [27] developed an advanced version of PSFHSA (APSFHSA). ey reduced the additional memory requirement during the search process.…”

Penerapan Harmony Search Algorithm untuk Menyelesaikan Economic Dispatch dengan Memperhitungkan Rugi-Rugi Transmisi

“…Metode HSA ini ditemukan oleh Zong Woo Geem pada tahun 2001. Metode HSA ini merupakan metode yang terinspirasi dari nada-nada musik yang di dengar [10][11][12][13][14][15].…”