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https://doi.org/10.29007/pvrk...
Article . 2018 . Peer-reviewed
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Applications of Harmony Search Algorithm

Authors: Gunjan Chauhan; Vishal Patel; Vishal Arekar;

Applications of Harmony Search Algorithm

Abstract

Harmony search Algorithm (HSA) is mostly preferred for solving optimizationproblems and gives optimum solution of the problems. . It is based on improvisation of harmony in music process where musicians improvise their instruments’ pitch by searching for a aesthetically pleasant harmony. As the musicians in improvisation process try to find the best harmony in terms of aesthetics, the decision variables in optimization process try to be the best solution in terms of objective function. In the present work, the harmony search method is studied with an attempt to use it to solve various structural optimization problems. Harmony search can be more effective than some of the optimization available right now like genetic algorithms, particle swarm algorithm, ant colony algorithm, gravity search algorithm etc. The programming language used in this work is Visual Basic-macro excel. The programs for harmony search algorithm is developed in macro and their reliability is checked by verifying it with various mathematical optimization problems.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
bronze