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The process begins with a collection of individuals, each comprising a set of randomly assigned genes.
Absent substance abuse, they were no more likely to act violently than were a set of randomly selected neighbors.
When she approached it a set of randomly positioned numbers appeared.
Extensive computational experiments on a set of randomly generated instances indicate the effectiveness of the algorithm.
Again, Branas and his colleagues compared the treated sites with a set of randomly selected, geographically matched properties.
Computational experiments are performed using a set of randomly generated problems.
The effectiveness of our approach is demonstrated on a set of randomly generated test data.
Optimality proofs are given and computational experience on a set of randomly generated problems is reported.
Finally, numerical results for a set of randomly generated problems are presented.
Experimental results obtained by applying a number of algorithms to a set of randomly generated networks are presented and compared.
Superb parrot nest trees were located, measured and compared with a set of randomly chosen non-nest trees.
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