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A multiobjective optimization problem can be solved by optimizing several equations simultaneously or by combining multiple optimization targets.
The optimization targets are met using model predictive control.
These products require different drying scenarios with specific optimization targets.
This data set is made available and provides validation and optimization targets for future combustion model revisions.
The optimization targets included predictions for the laminar burning velocity, ignition delay time, and pyrolysis of H2S, and H2S oxidation in a flow reactor.
This global optimization targets the creation of the best possible system with a reduced amount of required training data.
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The CritC index function (Breaban and Luchian 2011) is used as the optimization target whose optimal value is used to determine the best k and σ.
The maximum gliding range is used as the optimization target instead of the lift to drag ratio to optimizing the shape of BWBUG.
For this, we selected a hatch cover of a bulk carrier as an optimization target and formulated an optimization problem in order to determine optimal principal dimensions of the hatch cover for lightening the bulk carrier.
The optimization target is to obtain the minimum drag coefficient.
The optimization target is the reactivity of this important reaction.
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