Оптимизация синтеза безызбыточных диагностических тестов с использованием генетических алгоритмов и реализация ее в интеллектуальной системе

Abstract

Method optimization of syntheses a set of irredundant diagnostic tests with genetic algorithms use to solve tasks of large dimension is suggested. The idea of creating sectionalized by classification mechanisms of irredundant the partial implication matrix is lying in the base; revealing certain kinds of regularities, that are used, combined with genetic transformations, in creating a set of irredundant diagnostic tests. All the obligatory and non-informative features are not used in genetic transformations. Procedures of selection able-to-compete individuals from populations, decision making concerning object under examination of each able-to-compete individual from populations, and organizing of voting on the set of these individuals are suggested. In order to solve these tasks the intelligent system is used.