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Particle Swarm Optimization (PSO), which has been shown to be effective in optimizing difficult multidimensional problems in many fields, is a population-based stochastic optimization technique for problem solving that is inspired by the social behaviors of organisms such as bird flocking [ 15].
The novel results of this study can be effective in optimizing a variety of the surface properties of the nanostructured implants.
Further work is needed to confirm this in a larger study and also determine if longer duration pre-treatment might be effective in optimizing smear microscopy for TB.
The results demonstrate that vitamin D supplementation may be effective in optimizing vitamin D status and counteracting the progression of aortic stiffness in black youth.
In this work, we develop a novel motif finding algorithm (PSO+) using a population-based stochastic optimization technique called Particle Swarm Optimization (PSO), which has been shown to be effective in optimizing difficult multidimensional problems in continuous domains.
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The proposed combined approach is effective in optimizing the cathode flow-field design for a single serpentine PEMFC.
The experimental result is in good agreement with the theoretical result, which shows this theoretical approach is effective in optimizing the design of the fiber optic hydrophone.
The factorial design technique was shown to be an efficient tool for assessing factor influences and was effective in optimizing the column operating conditions.
Little evidence exists that current interventions are effective in optimizing daily life functioning [ 2].
These results demonstrate that DNA immunization is effective in screening, optimizing and comparing optimal antigen designs and immunogenicity of candidate antigens for the development of a subunit-based plague vaccine.
A hierarchical control architecture, consisting of a high level controller for trajectory tracking, and a control allocation algorithm, is developed and proved to be effective in tracking a desired trajectory while optimizing some cost related to actuator constraints.
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