GP-GN: An Approach Certain to Large-Scale, Multiobjective Integer Programming Models

摘要

A large number of real world problems may be characterized via a multiobjective integer mathematical programming model. However, the solution to truly large-scale problems of such a type has been a difficult task. In this paper, we present a hybrid approach, combining generalized goal programming and generalized networks, for the modeling of such problems. Once such a model has been developed, it may then be possible to employ the solution procedures of generalized networks to efficiently obtain a solution - particularly if the resultant hybrid model is, fundamentally, a multiobjective generalized network. (Author)