Genetic algorithms for the synthesis optimization of a set of irredundant diagnostic tests in the intelligent system

Method of the synthesis optimization of a set of irredundant diagnostic tests with genetic algorithms used to solve problems of large dimension is suggested. The idea of creating the irredundant partial implication matrix sectionalized by classification mechanisms lies in the base; creating a set of...

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Bibliographic Details
Main Authors: Anna E. Yankovskaya, Alex M. Bleikher
Format: Article
Language:English
Published: Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova 2001-12-01
Series:Computer Science Journal of Moldova
Online Access:http://www.math.md/nrofdownloads.php?file=/files/csjm/v9-n3/v9-n3-(pp336-349).pdf

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