A Comparative Performance Investigation of Swarm Optimisers on the Design of Hydrostatic Thrust Bearing
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In the design of hydrostatic thrust bearings, power loss that occurs during operation is an important parameter that affects the design, and due to such features, it falls within the interest of design optimisation studies.
The fact that the decimal places of the constraints and design variables used for minimum power loss optimisation of hydrostatic thrust bearings are highly effective on the result is a challenge for the design optimisation studies carried out on the problem and has yet made it rather attractive for the researchers.
In this study, it is this feature of the problem that makes it the most important motivator in researching the performance of different metaheuristic optimisers in solving the minimum power loss problem.
To this end, 7 different optimisers, four of them for the first time, were applied under equal conditions with various pop sizes and a number of iterations, and their performances were addressed under this challenging benchmark problem.
The performances of these methods were compared to each other.
In addition to the success of optimisers in reaching a solution, their performance in different populations and iterations is also discussed in the study.
Considering the results, it is seen that MVO is the most effective optimiser in solving the problem and is followed by the WOA, PSO, and GWO.
The application of WOA, MVO, CS, and SSA, for the first time, on the problem has exhibited that these methods could be used in optimisation of such delicate engineering problems.
American Psychological Association (APA)
Sahin, Ismail. 2020. A Comparative Performance Investigation of Swarm Optimisers on the Design of Hydrostatic Thrust Bearing. Scientific Programming،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1209225
Modern Language Association (MLA)
Sahin, Ismail. A Comparative Performance Investigation of Swarm Optimisers on the Design of Hydrostatic Thrust Bearing. Scientific Programming No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1209225
American Medical Association (AMA)
Sahin, Ismail. A Comparative Performance Investigation of Swarm Optimisers on the Design of Hydrostatic Thrust Bearing. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1209225
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209225