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This combined algorithm is compared to solutions using SIMPLE as the main solver.
The combined algorithm is presented and its capabilities discussed in a set of multidimensional examples.
It is shown that the combined algorithm is more accurate than EKF in robot localization under the real operation conditions.
Practically, the combined algorithm is found fast enough for the computation of the transient and steady-state hydrodynamic behavior of the continuously and spatially distributed interacting liquid liquid dispersions.
The combined algorithm is validated for two test systems consisting of 13 and 40 thermal units whose incremental fuel cost function takes into account the valve-point loading effects.
Here, BFO and PSO combined algorithm is developed and represented with the help of flow diagram in Fig. 4.
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The combined algorithm was coined vector-DRASTIC and proved to describe more realistically intrinsic vulnerability than DRASTC.
The CA and ACO combined algorithm was applied to a team of multiple simulated robots without the interference of a central control.
The combined algorithm was employed to perform virtual subtraction hybridisation between tumour and normal libraries of the same organ.
Consequently, the sum rate performance of the proposed combined algorithms is much higher than the clustered S-best algorithm especially when the number of CDI quantization bits is quite limited.
Maximal ratio combining algorithm is implemented at the receiver side to combine all these copies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com