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Meanwhile, genetic algorithm (GA), particle swarm optimization (PSO) and hybridized GA PSO approaches were benchmarked among the broad spectrum of meta-heuristics to find the outperforming approach.
These approaches were benchmarked using, as an example, the three-class trickle-bed flow-regimes problem (Low interaction regime [LIR], high interaction regime [HIR], transition regime [TR]) for which a comprehensive knowledge-referenced database is available (5061 flow regime observation records).
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The proposed approaches are benchmarked on 22 UCI datasets.
The impact of different geometrical parameters on the load-carrying capacity is demonstrated and the design approaches are benchmarked against a large number of individual test results.
The novel approach is benchmarked against the MLP and RBF networks.
The performance of this new approach is benchmarked against classical PCA.
Further details are provided on suitable LUT refinement and the approach is benchmarked against conventional Gauss Legendre integration.
Finally, the approach is benchmarked against experimental data available in the literature by using both the proposed spring-model and a detailed 2D-FE non-linear model.
The proposed approach is benchmarked with an intuitive approach and an approach that does not consider uncertainty in solar radiation and ambient temperature.
This approach is benchmarked with independent field models.
Coventry's approach was benchmarked for use by the National Coordination Committee for administration and clerical staff within breast screening and has been successfully adapted for the breast screening services in the West Midlands region.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com