Algorithms for solution of a high dimensional multi-criterial optimization problem

A method is suggested for solution of the multi-criterial optimization problem with a high dimensional variable vector and many constraints. The case of minimal knowledge on the part of the decision maker of the possible alternatives is treated. A Paretooptimal decision is determined which is most acceptable from the viewpoint of the decision maker who learns in the decision process.