An analysis of the parameter modifications in varieties of harmony search algorithm
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in solving diversified and large scale optimization problems. Several studies have pointed out that Harmony Search is an efficient and flexible tool to resolve optimization problems in diverse areas of...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Praise Worthy Prize
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/14084/1/an_analysis_of_the_parameter_modifications_in_varieties_of_HS_algorithm.pdf http://eprints.utem.edu.my/id/eprint/14084/ |
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| Summary: | A Harmony Search (HS) algorithm is a population based-meta-heuristics approach
that is superior in solving diversified and large scale optimization problems. Several studies have
pointed out that Harmony Search is an efficient and flexible tool to resolve optimization problems
in diverse areas of construction, engineering, robotics, telecommunication, health and energy.
Considering its increasing usage in diverse areas, this paper aims to present the historical
development of HS, highlighting on its different features, modifications for improvements and
limitations. Based on the description of the fundamental concept of HS, recent variations of the
extended HS were analyzed focusing on its algorithm’s theory as well as its fundamental and
primary concepts. It was found that the enhancements made on the extended HS are mainly on the
modification of the parameters, such as the harmony memory consideration rate (HMCR), pitch
adjusting rate (PAR) and distance bandwidth (BW). This analysis provides a useful motivation for
researchers interested to improve the achievement of the standard HS algorithm and enhance the
solution convergence rate and flexibility. |
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