Some Approaches to Linear Multicriterial Optimization Problems
摘要
In this paper, we describe three approaches to problems of linear multicriterial optimization: the method of convolution of several criteria into a supercriterion, the principle of approximation by all local criteria to an ideal solution, and the method based on introducing a measure of conflict between criteria.