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This repeated process is implemented by genetic algorithm.
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Finally, parameters of optimum control are built and implemented by using Genetic and Tabu Search Algorithms.
One of the most popular independent component analysis (ICA) methods, the fast fixed-point algorithm for ICA (fastICA), was implemented by the genetic algorithm (geneticICA) to avoid the local maxima problem commonly observed with fastICA.
Therefore, in the proposed work, a neuro-genetic algorithm has been designed and implemented by incorporating a genetic algorithm (GA) component into the ANN in the training phase.
It can be implemented by most molecular genetic laboratories using standard equipment.
Biclustering has also been implemented by using a genetic algorithm (GA) to find a practical solution to balance bicluster quality and calculation cost.
The method provides an efficient and inexpensive diagnostic mutation analysis that can be implemented by most molecular genetic laboratories using standard equipment.
A multi-objective optimization strategy implemented by use of a genetic algorithm is applied to a case study on orange juice production.
In synthetic biological applications to date, the logic of the designed regulatory systems is generally simple and implemented by a handful of genetic "parts" [9].
The location and quantification of the extent of the damage is performed with genetic algorithms implemented by using the residual force method which is based on conventional modal analysis theory.
It comprises a synthesis step that introduces new pathways and genetic controls implemented by molecular biological methods, as well as a step of analysis aiming at the elucidation of the properties of metabolic reaction networks in their entirety and the rigorous evaluation of the physiological state of resulting recombinant cells.
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