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The proposed heuristic relies on a new pruning criterion to enumerate patterns with high size-to-hardware-area ratio.
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Our toponym resolver makes use of an innovative heuristic relying on metadata available in GenBank to solve geo-geo ambiguities.
The four heuristics relied on three policies: the first was migrating the least number of VMs to minimize migration overhead.
In complete contrast, other researchers focused on heuristics relying on a more planned or step-by-step approach.
Our heuristic SibJoin relies on measurements of similarity between individuals.
We devise a novel heuristic procedure, relying on statistical and geometrical tools, to solve the problem and demonstrate by simulation that this approach can cope satisfactorily with considerable noise and realistic problem sizes.
We introduce the MowgliNNI heuristic method relying on NNI rearrangements of the uncertain parts of the gene trees to solve a parsimony optimization problem for reconciliations accounting for duplications, losses and transfers.
In particular, we compare the relative merits of heuristic models relying on purely statistical arguments and those explicitly tackling the prediction of the phenotypic and fitness effects of new mutations.
Following the works cited above to deal with uncertainties in the gene trees, we propose a heuristic method relying on NNI edit operations to search for a gene tree rearrangement that preserves strongly supported edges and minimizes the cost of reconciliation to a fixed binary species tree, but in the context of the more complex DTL model.
The heuristic searches relied on a preliminary run to refine the parameter search space (the initial values of Θ and M were estimated from FSTs, the searches included ten short chains of 1 × 10 generations with 5000 recorded genealogies followed by four long chains of 25 × 10 generations with 50 000 recorded genealogies, and a burnin of 10 000 generations was applied).
The proposed heuristic optimisation approach relies on the rank of the cross-covariance matrix between the observations of the target variables and the observations of the sensor measurement variables obtained from simulations using the computational model of an experiment.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com