An Algorithm for the Generalized Transportation Problem

James MacKinnon

Working Paper from Economics Department, Queen's University

Abstract: This paper describes a new computational technique for solving spatial economic equilibrium problems which are generalizations of the classical transportation problem. Existing algorithms employ quadratic programming, and they therefore require that demand and supply functions are linear. By contrast, the algorithm of this paper can handle nonlinear or even semi-continuous demand and supply relationships. It can also handle non-constant transport costs and other complications. The technique is capable of yielding highly accurate solutions, and it appears to be computationally efficient on problems of reasonable size.

Pages: 35
Date: 1975
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Published in Regional Science and Urban Economics, 5, 1975

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