Nonlinear goal programming model application in optimal economy development policy choosing
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Abstract
In this paper a new nonlinear goal programming model (NGP) and a new interactive goal programming methodology (MINGP) have been developed which are more applicable then existent. A gradient nonlinear programming algorithm, based upon the feasible directions method, built in an optimal step length routine, has been used to develop an algorithm for NGP model solving, especially those in which nonlinear functions are of Cobb-Douglas type. MINGP is an effective means to consider the models which involve multiple often conflicting goals. Test of this methodology in real optimal economy development decision situations were affirmative.
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