On the achievement stability set for parametric linear goal programming problems

M. S. Osman (), M. A. Maaty () and F. A. Farahat ()
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M. S. Osman: Alasher University
M. A. Maaty: Higher Technological Institute
F. A. Farahat: Higher Technological Institute

OPSEARCH, 2017, vol. 54, issue 1, No 10, 200 pages

Abstract: Abstract Goal Programming (GP) has many significant advances in recent years, particularly in the area of intelligent modeling and solution analysis as it is a powerful and effective methodology for the modeling, solution, and analysis of problems having multiple and conflicting objectives. This paper presents an algorithm for investigating the achievement stability set for parametric linear goal programming problems when parameters exist in the objective function. To avoid the complexity of this problem, the iterative approach in Dauer and Krueger (Oper Res Quart 28(3 Part 2):671–681, 1977) will be used to solve it. This model has been handled because it is very easy for the decision maker to put the weights for goals but, for the sub-goals it will be difficult as they have the same measure.

Keywords: Goal programming; Iterative approach; Achievement function; Parametric analysis; 90C29; 90C05; 90C31; 90C99 (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s12597-016-0275-4

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