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Obtaining a solution in this manner may be helpful in confirming, refuting or even refining the solution from the previous close conjunction analysis.
This is due to the lack of local searches, which in this problem are instrumental in refining the solution.
Refining the solution space to more closely match observed biological phenomena through improved reconstruction or expanded constraints remains an ongoing research effort for reconstructed metabolic networks.
Subsequent refinements made by the investigator involved replacing the original gold cylinders with modified square impression copings (Balshi & Wolfinger 1996), converting the denture following the stage 1 instead of the stage 2 surgery (Balshi & Wolfinger 2002) and finally refining the solution into their trademarked "Teeth in day" method (Balshi & Wolfinger 2003).
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An a priori criterion for refining the solutions specified that those rejected by more than 50percentnt of the Panel should not be taken forward to Round 3.
Then, the SQP method is employed to refine the solution.
The iterative corrections greatly help refine the solution to better accuracy.
Fourthly, an elite stochastic learning (ELS) method is used to refine the solution.
Secondly, a local learning method using a competitive penalized method is developed to refine the solution.
Finally, IP is called again to further refine the solution during the remaining time.
The second step used the cluster centers from the hierarchical method to refine the solution using a k-means cluster analysis.
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