Advanced Parameter-Setting-Free Harmony Search Algorithm
Source abstract
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.
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Research context
OpenAlex topics: Metaheuristic Optimization Algorithms Research · Evolutionary Algorithms and Applications · Advanced Multi-Objective Optimization Algorithms
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Affiliations
School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea
Department of Software, College of Software Convergence, DongSeo University, Busan 47011, Korea
Department of Energy IT, Gachon University, Seongnam 13120, Korea
Funding
Chung-Ang University · National Research Foundation of Korea
References (20)
Show source-provided references
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