GENETIC ALGORITHMS IN CRYSTALLOGRAPHIC TEXTURE ANALYSIS ALGORYTMY GENETYCZNE W ANALIZIE TEKSTUR KRYSTALOGRAFICZNYCH

摘要

The method of genetic algorithms (GA) is amodern computer technique based on some ideas taken frombiological evolution theory. GA is especially useful for a study ofproblems being not completely determined. They are, e.g.,problems having a few but not very different solutions orproblems without a strict (exact) solution. In the last situation theGA application can be very useful if it is enough to find a goodolution but not necessarily the best one. In GA approach it is notnecessary to know a priori a general scheme of problem solution;however, it is important to have a procedure estimating thequality of a solution. This procedure is necessary to eliminatesome solutions and to accept other ones. In last years the GAmethod was applied with success in different areas of science,e.g., in; sociology, construction engineering, artificial intelligenceand many others.The present work reports the first result (to theauthors'knowledge) of GA application in crystallographic textureanalysis: the orientation distribution function (ODF) is calculatedfrom a set of pole figures (PFs); consequently, the GA methodmay be considered as an alternative method of texture analysis. Itis possible, however, to apply GA to other practical problems inthe field of crystallographic textures. One of such problems maybe finding of the best texture giving required material properties.This may be, e.g., the research of a texture which optimisesmaterial proporties for a given application (e.g., drawability,electric or magnetic properties).