Linear Mixed Integer Multicriteria Optimization Interactive Methods Decision Support Systems
Institute of Information Theories and Applications FOI ITHEA
The paper describes a learning-oriented interactive method for solving linear mixed integer problems of
multicriteria optimization. The method increases the possibilities of the decision maker (DM) to describe his/her
local preferences and at the same time it overcomes some computational difficulties, especially in problems of
large dimension. The method is realized in an experimental decision support system for finding the solution of
linear mixed integer multicriteria optimization problems.