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In [48], Hong et al. propose Multiple Constraint-based Shortest Path First (MCSPF), which is based on the widely used Constraint Shortest Path First (CSPF) [49] algorithm.
For this purpose we have selected 6 formerly developed constraint handling methods for adapting into WSA algorithm and analyze the effect of the used constraint handling method on the performance of the WSA algorithm.
Here we used constraint analyses to explore alternative or compare non-mutually exclusive hypotheses of tRNA groupings.
However, Dotu et al. [ 34] used constraint programming and found promising results.
This might be due to the used constraint programming techniques and results in missing sequence designs for many constraint sets.
They also used constraint programming with different heuristics in [ 41] and a constraint solver named COLA [ 42] that is highly optimised for protein structure prediction.
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Here, we used constraint-based modeling and optimization algorithms on a genome-scale model of Synechocystis PCC6803 to find ways to improve productivity of fermentative, fatty-acid, and terpene-derived fuels.
The types of used constraints range from 'none' (standard AAMs) to 'all' (augmented AAMs).
However, support and confidence remain the two most widely used constraints.
Therefore, μ2 can be determined iteratively, using constraint.
Look-ahead techniques use constraint propagation algorithms to avoid such dead-ends altogether.
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CEO of Professional Science Editing for Scientists @ prosciediting.com