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Visualization is one technique which makes it easier for an engineer to understand the designs identified by an optimization tool.
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This work represents a contribution to the field of sustainable electricity system design by using an optimization tool to specify the final mix composition, subject to the constraints of: emissions that are within the biocapacity of the region; a diverse and robust electricity supply system; and supply that at least meets current demand.
The performance of an optimization tool is largely determined by the efficiency of the search algorithm used in the process.
The minimum consumed energy is used as a criterion for trajectory generation, by using a real number genetic algorithm as an optimization tool.
This highly iterative process is done using an optimization tool like Excel Solver.
This issue arises when the set of LSPs is recalculated by a central path optimization tool to attain a better resource utilization in the network.
Hence for the high cell doses of 10 cells/dose, only the microcarrier-based processes would meet this cost target and allow for a successful business model, as predicted by the optimization tool.
A detailed integer NLP model is formulated for the GDBP problem and solved by a non-commercial optimization tool.
This fact indicates that RSM coupled by constrained GA can be an effective optimization tool that obviates the need for either development of an analytical model or estimation of an empirical expression.
The genetic algorithm is an evolutionary optimization tool developed by John Holland in 1975 (Kühn et al., 2013).
This means all the tolerance simulation models are generated subjected to the deviating input parameters defined by the optimization tool.
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