Effectiveness of a geometric programming algorithm for optimization of machining economics models

Effectiveness of a geometric programming algorithm for optimization of machining economics models

0.00 Avg rating0 Votes
Article ID: iaor19972094
Country: United Kingdom
Volume: 23
Issue: 10
Start Page Number: 957
End Page Number: 961
Publication Date: Oct 1996
Journal: Computers and Operations Research
Authors: ,
Abstract:

Machining economics problems usually contain highly non-linear equations which may present difficulties for some non-linear programming algorithms. An earlier article by Duffuaa et al. compared the performance of several non-linear programming algorithms, including a geometric programming algorithm, applied to five machining economics problems. Those authors concluded that the Generalized Reduced Gradient (GRG) algorithm is the most suitable method for solving such problems. In this paper, the authors point out shortcomings in that conclusion and demonstrate the effectiveness of the Geometric Programming technique in such problems compared with the results of GRG which were presented.

Reviews

Required fields are marked *. Your email address will not be published.