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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 proposed combined approach is effective in optimizing the cathode flow-field design for a single serpentine PEMFC.
The factorial design technique was shown to be an efficient tool for assessing factor influences and was effective in optimizing the column operating conditions.
The achieved quadratic model was flexible and effective in optimizing either single or multiple objections of product distribution for CO2 hydrogenation.
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 novel results of this study can be effective in optimizing a variety of the surface properties of the nanostructured implants.
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The iterative optimization technique presented requires a minimum of available data and provides effective assistance in optimizing thermal systems, particularly in dealing with complex systems and/or cases where conventional optimization techniques cannot be applied.
Simulation of drilling process is an effective method in optimizing the drill geometry and process parameters in order to improve hole quality and to reduce the drill wear.
It is concluded that the model provides a time and cost effective tool in optimizing and designing industrial AA3xxx alloy chemistries and homogenization heat treatments.
This gives reason for the unsatisfactory polarization measurements and also provides an effective method in optimizing the Au nanoparticle system.
Optimal contribution selection was an effective tool in optimizing the allocations of combined reproductive technologies.
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