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The optimization process is done by using a genetic algorithm.
The parameters of the controller are ascertained by using a genetic algorithm.
The structure of the RBF network model is properly determined by using a genetic algorithm (GA).
Parameters of the matching circuits and the lumped loads optimized by using a genetic algorithm (GA).
The function depends on a few parameters that are fitted by using a genetic algorithm.
By using a genetic screening approach in adult zebrafish, they were able to pinpoint a single gene, SETDB1, that accelerates the onset of melanoma.
The algorithm we propose optimizes the clustering and cluster head selection of ZEEP by using a genetic fuzzy system.
We test this approach by using a genetic algorithm to parameterize a biological physical coupled copepod population dynamics computation.
Our implementation improves real time lip synchronization by using a genetic algorithm for obtaining a near optimal NN topology.
The multi-objective optimization was carried out by using a genetic algorithm (GA) incorporating Pareto optimality criterion.
Each alternative was optimized by using a genetic algorithm to maximize dynamic manipulability through a desired task.
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