Research Article
A Comparative Performance Investigation of Swarm Optimisers on the Design of Hydrostatic Thrust Bearing
Table 1
Algorithms and its optimal solutions for minimum power loss problem in the literature.
| | Variables | Best fitness | R | R0 | μ (×10−6) | Q | f(x) |
| Siddall [12], HJ | 7.1550805 | 6.688682 | 8.320765 | 9.168461 | 29221.321 | Deb and Goyal [9], GeneAS | 6.778 | 6.234 | 6.096 | 3.809 | 25937.058 | Deb and Goyal [9], BGA | 7.7077 | 6.549 | 6.619 | 4.849 | 27554.5428 | Coello [8], GASO | 6.271 | 12.901 | 5.605 | 2.938 | 23403.432 | He et al. [10], PSO | 5.956868685 | 5.389175 | 5.402133 | 2.301546 | 19586.5788 | Rao et al. [11], TLBO | 5.9557805 | 5.389013 | 5.358697 | 2.269655 | 19505.3131 | Kentli and Sahbaz [1], SQP | 5.95580 | 5.38904 | 8.63332 | 8.00001 | 26114.545 | Şahin et al. [2], GWO | 5.9576206 | 5.390681 | 0.000005 | 2.278085 | 19530.6552 | Şahin et al. [2], E-GWO | 5.9557805 | 5.389013 | 5.358697 | 2.269656 | 19505.3134 | Talatahari and Azizi [13], CGO | 5.963440023 | 5.395587861 | 5.36 | 2.264822 | 19454.9541 |
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