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Parsimony analyses were conducted using a heuristic search strategy.
Optimum designs are generated using a heuristic search technique known as Tabu search.
One thousandbootstrap replicates were computed using a heuristic search with the optimal criterion set to "parsimony".
For k>4, a different approach using a heuristic search was applied since the exhaustive search is too time-consuming to be practical for our problem.
Tree topologies were evaluated from an initial neighbor joining tree (NJ), using a heuristic search approach that implemented successively branch-swapping methods: (i) tree bisection-reconnection (TBR) branch-swapping, (ii) subtree pruning-regrafting (SPR) and, (iii) nearest-neighbor interchange (NNI).
BANJO, on the other hand, constructs a Bayesian network from discrete data using a heuristic search
Similar(13)
Temporal features were automatically extracted using a heuristic searching for peaks in the point-biserial correlation coefficient between targets and nontargets.
Tree searches were performed using an heuristic search method (options: set to hold 10 000 trees, 1000 replications, 100 starting tree replication, multiple TBR + TBR search strategy).
An alternative approach is to use a heuristic search procedure such as a genetic algorithm (GA).
Maximum parsimony analysis (MP) used a heuristic search strategy with tree-bisection-reconnection (TBR) branch swapping and the MULTREES option in effect, simple addition and ACCTRAN optimization.
The most widely used approach to multiple sequence alignments uses a heuristic search known as progressive technique (also known as the hierarchical or tree method) developed by Paulien Hogeweg and Ben Hesper in 1984.
More suggestions(15)
using a substructure search
using a heuristic process
using a separate search
using a heuristic iteration
using a heuristic criterion
using a heuristic selection
using a comprehensive search
using a profile search
using a Blast search
using a regular search
using a manual search
using a greedy search
using a direct search
using a reliable search
using a metaheuristic search
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