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A Comparative Study of Improved Harmony Search Algorithm in Four Bar Mechanisms
- Source :
- IEEE Access, Vol 8, Pp 148757-148778 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- There are problems that are difficult to solve through mathematical programming or by classical methods. These problems are called hard problems due to their high complexity or high dimension. On the other hand, mataheuristics intends to seek a better solution to a problem. The Improvement Harmony Search algorithm is proposed under modification of the bandwidth parameter increasing the quality of the exploitation of the solutions. That is why within the state of the art, are mentioned several versions of harmonic search. The state of the art is supports the fact that the algorithm belongs to the category of those who make modifications to its parameters. This research demonstrates the ability of ImHS to solve a problem of high complexity focused on solving four-bar mechanism designs, whose solutions imply high dimension and which are also classified as hard problems. The two problems that are solved in this investigation, are problems very attacked within the state of the art by various metaheuristics. A comparison is then made against previous solutions with traditional metaheuristics and other versions of harmony search algorithm. Finally, the effectiveness of performance is demonstrated, where proposed algorithm it exceeded five metaheuristic algorithms and five harmony search versions. An optimum is provided in an easy and useful way, the parametric statistics are improved and the number of feasible solutions is exceeded in NP-hard problems as in the case of problems with four-bar mechanisms.
- Subjects :
- Mathematical optimization
optimization problems
General Computer Science
Computer science
media_common.quotation_subject
Dimension (graph theory)
General Engineering
Harmonic (mathematics)
Algorithms performance
improved harmony search
four-bar mechanism
Metaheuristic algorithms
Harmony search
mechatronic
General Materials Science
Quality (business)
State (computer science)
lcsh:Electrical engineering. Electronics. Nuclear engineering
Metaheuristic
lcsh:TK1-9971
Parametric statistics
media_common
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....119837981b29e3b635ebf43fb19b9a72