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Successive linear programming for ratio goal problems

โœ Scribed by R. Armstrong; A. Charnes; C. Haksever


Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
750 KB
Volume
32
Category
Article
ISSN
0377-2217

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โœฆ Synopsis


This paper develops two effective methods for solution of the nonlinear and non-convex programming problems of multiple ratio goal models. They are based on Charnes and Cooper's convergence theorem for an associated sequence class of linear programs. The Charnes-Cooper results are extended to develop two alternate algorithms and implementations effectively employing new information en route to solution to achieve significant savings in computation time over methods not taking advantage of such information. Possible uses for other applications than the computed examples or for other model classes are also indicated.


๐Ÿ“œ SIMILAR VOLUMES


A goal programming procedure for fuzzy m
โœ B.B. Pal; B.N. Moitra; U. Maulik ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 224 KB

This paper presents a goal programming (GP) procedure for fuzzy multiobjective linear fractional programming (FMOLFP) problems. In the proposed approach, which is motivated by Mohamed (Fuzzy Sets and Systems 89 (1997) 215), GP model for achievement of the highest membership value of each of fuzzy g