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Ant colony optimization for group technology applications

✍ Scribed by Anil Kumar Agrawal; Prabhas Bhardwaj; Vivek Srivastava

Publisher
Springer
Year
2010
Tongue
English
Weight
423 KB
Volume
55
Category
Article
ISSN
0268-3768

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One important approach to learning Bayesian networks (BNs) from data uses a scoring metric to evaluate the fitness of any given candidate network for the data base, and applies a search procedure to explore the set of candidate networks. The most usual search methods are greedy hill climbing, either