SAE Technical Paper Series 2016
DOI: 10.4271/2016-01-0285
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Proposed Validation Method for the Uncertainty Estimation of CMM Straightness Measurement Using PSO Algorithm and SMC Technique

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Cited by 3 publications
(2 citation statements)
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“…For the PSO algorithm, we used the open source code called "SwarmOps for Matlab" which accessed in 2015 [24]. The proposed hybrid method based on PSO algorithm and SMC technique achieves the best solution for leading to faster convergence [20]. Thus, we implemented the following steps:…”
Section: Theoretical Analysismentioning
confidence: 99%
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“…For the PSO algorithm, we used the open source code called "SwarmOps for Matlab" which accessed in 2015 [24]. The proposed hybrid method based on PSO algorithm and SMC technique achieves the best solution for leading to faster convergence [20]. Thus, we implemented the following steps:…”
Section: Theoretical Analysismentioning
confidence: 99%
“…Standard PSO is introduced as a computational optimization algorithm by Kennedy and Eberhart [18] in 1995. While, the hybrid method based on PSO algorithm and SMC technique, may be intelligent and preferable for leading to accurate convergence [19][20]. Mingzhao et al [11] evaluated the spatial straightness error using coordinates investigation by Multilateration algorithm.…”
mentioning
confidence: 99%