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A timed-place PN is adopted for the purpose of finding the feasible schedule in terms of the firing sequence of the transitions of the PN model by using the heuristic search method.
The problem is simulated using a discrete event based simulation program and solved on a more practical scale using the heuristic search techniques discussed in the previous sections.
Therefore, to apply PAT to our research and overcome its weaknesses, this study proposes using the heuristic search method (inspired from the well-known (A*) algorithm) to improve the search process.
Parsimony analysis was conducted with the program PAUP* 4.0b10, using the heuristic search option [63].
Most parsimonious trees were sought for using the heuristic search command, with Leptoceratops constrained as the outgroup.
Confidence in the phylogenetic grouping was assessed by the non parametric bootstrap method [87], [88] with 1000 pseudoreplicates undertaken using the heuristic search option, tree bisection reconnection branch swapping (TBR) and 10 random taxon addition replicates.
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Distance trees were created using the heuristic distance search for optimal trees by PAUP and the maximum likelihood method by PHYML.
Finally, we introduce "weighted optimization" wherein we mask the cost function used in the heuristic search algorithm to reflect the properties of the required ambiguity function.
Finally, we introduce a "weighted optimization" wherein we weight the cost function, used in the heuristic search algorithm, to reflect the properties of the required ambiguity function.
The RAxML program ver. 7.0.3 [ 42] was used for the heuristic search.
SiS continues to prune most of the search space using the heuristic mentioned above until the whole search space is explored.
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