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