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The objective is thereby to select, by optimizing criteria, the best path for conveying data to the destination.
The search parameters in the genetic algorithm included up to 2500 iterations (maximum solutions) to collect a large number of variable combinations and an estimated classification accuracy with optimizing criteria of 100% (goal fitness).
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As a first step in development of a computational tool for peak analysis, we used the newly found monoallelically expressed genes and Snrpn as a "learning tool" to optimize criteria for peak selection (Text S1).
Understanding of its molecular complexity is incomplete and there is a need to identify new therapeutic targets and to optimize criteria for its diagnosis, assessment and prognosis.
We emphasize that quasispecies estimation tools are designed for datasets of much higher coverage and diversity, and thus optimize criteria and utilize parameters specific to those applications.
In this article, we investigate techniques for optimizing sparsity criteria by focusing on the use of an ℓ1 criterion instead of an ℓ2 one.
Exchange algorithms are widely used for optimizing design criteria and have proven to be highly effective.
With the ultimate goal of promoting sparsity in a transform domain, we investigate in this article techniques for optimizing sparsity criteria, which can be used for the design of all the filters defined in a non separable lifting structure.
For example, the research in[6] considered waveform design for MIMO radar (e.g., see[7 15]) by optimizing two criteria: maximization of the MI and minimization of the minimum mean square error (MMSE).
As MOGASVM performs better in terms of both the performance scores, it indicates that optimizing multiple criteria simultaneously can yield better clustering rather than the case when the objectives are combined into one.
GAs and PSO are both methods that optimize the optimization criterion using exploration and exploitation schemes.
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