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. NA Prepared for: Naval Postgraduate School, Monterey, CA http://archive.org/details/gpgnapproachcert00igni