On the Solution of Geometric Programs via Separable Programming
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Problem of choosing the ″best″ decision from a number of feasible alternatives, the optimal one being that particular decision which is most attractive based on some measure of effectiveness - such as profits, costs, time or volume. Recently, a relatively general branch of non-linear programming, called geometric programming, has been developed. Application of geometric programming theory spans many of the classical subsets of non-linear programming. However, to date, large geometric programs have been difficult to solve. This paper presents a simplex-based approach to the solution of such programs which is indifferent to the degree of difficulty of the problem. Furthermore, unlike many gradient-search techniques its success is not dependent upon a ″good″ starting point.
author list (cited authors)
Kochenberger, G. A., Woolsey, R., & McCarl, B. A.