The Modeling and Computation of Generalized Goal Programming Problems
In this paper we show how the theory of variational inequalities can be applied to the formulation, qualitative analysis, and computation of generalized goal programming problems. The theoretical framework is developed in the context of a new competitive economic model in the presence of negative economic externalities. The model allows the decision maker to impose supply goals at production locations and transportation goals between supply and demand locations, along with associated penalties for failure to comply. This work may be viewed as a contribution to the development of mathematical methodologies for policy modeling.
Anna Nagurney, Sten Thore, and Jie Pan. "The Modeling and Computation of Generalized Goal Programming Problems" New Directions in Computational Economics. Ed. W. W. Cooper and A. B. Whinston. Boston, Massachusetts: Kluwer Academic Publishers, 1994. 95-120.
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