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Four numerical examples are presented to demonstrate the viability of the algorithm.
IUPAC is essentially an all-volunteer organization, so a mechanism needed to be found to assure the long term viability of the algorithm.
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The feasibility and the viability of the algorithms were demonstrated through simulations in Simulation of Urban Mobility (SUMO) and Network Simulator-2 (NS-2).
Five well-known truss mass optimization examples on Layout and size with frequency constraints are presented to demonstrate the viability of the algorithms.
To further show the viability of the weights algorithm proposed, we consider the following two examples.
Various numerical experiments of single and multiple inclusions demonstrate the viability of the designed algorithm.
The viability of the control algorithm is demonstrated through a simulated experiment.
Results are presented showing the viability of the genetic algorithm in the type of problem addressed in this work and also that direct search method can be used with some restriction.
The viability of the proposed algorithm is demonstrated using a hardware-in-the-loop simulation (HILS), which shows that it can detect and identify target failures reliably in the presence of plant uncertainties.
Using simulative evaluations, we demonstrate the viability of the proposed algorithms and illustrate the impact of external interferences in an IEEE 802.15.4 based wireless communication solution.
Recent work has demonstrated the accuracy and operational viability of an algorithm proposed by the authors that successfully registers 3-D ultrasound data with CT or MRI data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com