In this paper we develop a general approach to generate all efficient solutions of the Multi-Objective Integer Programming (MOIP) Problem. Our approach, which is based on identification of objective efficiency ranges, is an improvement over classical ε-constraint method. Objective efficiency ranges are identified by solving simpler MOIP problems with fewer objectives. We first provide the classical ε-constraint method on the Bi-Objective Integer Programming problem for the sake of completeness and comment on its efficiency. Then present our method on Tri-Objective Integer Programming problem and then extend it to the general MOIP problem with k objectives. A numerical example considering Tri-Objective Assignment problem is also provided.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.