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On the other hand, specially designed micro systems, in general, and SPM techniques especially, may help to overcome current problems in the optimization of existing thin films from the B/C/N system and in developing new ones by providing new techniques of material characterization, in the ideal case in situ during deposition.
Problems in the optimization of culture conditions in microtiter plates.
This fact leads to stiffness problems in the optimization procedure, which are partially solved in [ 4] by using an alternative error objective for the mAb concentration.
There were two problems in the optimization of parameters: (1) the wide range of metabolite concentrations, and (2) irregular time intervals (longer intervals at later times).
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The second one stems from mathematical programming problems, in which the optimization problem becomes a constraint in another optimization problem [2].
Furthermore, the convergence property is aggravated by numerical integration failure, which is a major problem in the optimization process [ 11].
Both methods have been widely used to solve the nonlinear constrained optimization problems in the numerical optimization community.
This paper presents a rigorous computational framework for solving complex multi-objective optimization (MOO) problems encountered in the optimization of logistic tasks under economic and environmental indicators.
Knapsack problem (KP) is one of the most important problems in the combinatorial optimization.
Further, genetic algorithm based method is used to solve the problem in validating the optimization results.
The associated electromagnetic-thermal problem is solved in the optimization process by means of the finite element method.
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