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The genetic algorithm is implemented to search for the optimal point.
A closed-loop control policy is employed to determine the sampling schedule, and an advanced stochastic global optimization algorithm, which integrates the stochastic approximation and simulated annealing techniques, is implemented to search the optimal sampling schedule.
Optimal values of the physical parameters are estimated using the Nelder-Mead simplex method, which is implemented to search for the optimal physical parameters to minimize the cost function.
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Multi-objective optimization together with artificial neural network has been implemented to search the optimal Pareto front.
The self-comparison (or sc) option was implemented to search for repeats in a given sequence.
In an attempt to populate GenDiS, the MQ approach was implemented to search in sequence databases starting from the entire 1961 PASS2 superfamilies.
An algorithm was implemented to search for the minimal Euclidian distance between the experimental data and the numerical simulations at day 6.
Although this approach has previously been implemented to search for restriction enzyme sites (Mount and Conrad, 1986; Smith, 1988), a comprehensive implementation for searches with mismatches and gaps is not available to our knowledge.
Using statistics for characteristics of known microRNAs gathered in the first phase of this study, a miRNA prediction algorithm was implemented to search the Ciona intestinalis genome for conserved mature microRNA genes.
A Gaussian-based operator is implemented to induce particle search diversity with probability through mutation.
The proposed intelligent decision support system (Onto-CBR) is implemented to an itinerary search problem for freight transportation users in urban areas.
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