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Applications of Harmony Search Algorithm
Author(s) -
Gunjan Chauhan,
V. C. Patel,
Vishal A. Arekar
Publication year - 2018
Publication title -
kalpa publications in civil engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2515-1789
DOI - 10.29007/pvrk
Subject(s) - harmony search , harmony (color) , improvisation , computer science , particle swarm optimization , mathematical optimization , metaheuristic , algorithm , artificial intelligence , mathematics , art , visual arts
Harmony search Algorithm (HSA) is mostly preferred for solving optimization problems 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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