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This paper presents an efficient multi-objective model based optimization approach for the optimal sizing of all components and the determination of the best power electronic layout.
Based on a model based optimization strategy, intracellular soluble production in Escherichia coli was optimized.
Thus, if we solve the model based optimization problem using the estimated, non-exact parameters, an inevitable loss of optimality is faced.
This paper deals with the model based optimization of tubular reactors for the production of LDPE.
This paper introduces a new optimization technique known as Swine Influenza Model based Optimization (SIMBO).
Model based optimization of a novel integrated interface circuit topology is presented for low voltage DC-DC step-up conversion.
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These complex dynamics make the optimization problem difficult, if not impossible, to solve analytically and make the application of non-model based optimization techniques necessary.
Process evaluation is based on techno-economic performance obtained by model-based optimization of the integrated processes using validated column models.
More significantly, the model is proposed for the subsequent step of model-based optimization to readily develop optimal antisolvent feeding recipes attractive for pharmaceutical and chemicals crystallization operations.
A rigorous model-based optimization approach is employed in the optimal design of the cycles to generate solutions that are physically realizable in the experimental set-ups.
A rigorous model-based optimization approach is employed in the optimal cycle design to generate a solution that is physically realizable in the experimental apparatus.
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