An algorithm for bicriteria optimization based on the sensitivity function

Abstract

The determination of noninferior points and corresponding noninferior values related to the multicriteria optimization problem is approached through the use of the sensitivity function. The sensitivity function has several attractive properties which provide the basis for efficient generation and representation of points in the set (or surface) of noninferior values, and these are exploited in the development of an efficient bicriteria optimization algorithm.