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Tytuł artykułu

Fuzzy goal programming technique for multi-objective indefinite quadratic bilevel programming problem

Autorzy
Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Bilevel programming problem is a non-convex two stage decision making process in which the constraint region of upper level is determined by the lower level problem. In this paper, a multi-objective indefinite quadratic bilevel programming problem (MOIQBP) is presented. The defined problem (MOIQBP) has multi-objective functions at both the levels. The followers are independent at the lower level. A fuzzy goal programming methodology is employed which minimizes the sum of the negative deviational variables of both the levels to obtain highest membership value of each of the fuzzy goal. The membership function for the objective functions at each level is defined. As these membership functions are quadratic they are linearized by Taylor series approximation. The membership function for the decision variables at both levels is also determined. The individual optimal solution of objective functions at each level is used for formulating an integrated pay-off matrix. The aspiration levels for the decision makers are ascertained from this matrix. An algorithm is developed to obtain a compromise optimal solution for (MOIQBP). A numerical example is exhibited to evince the algorithm. The computing software LINGO 17.0 has been used for solving this problem.
Rocznik
Strony
683--699
Opis fizyczny
Bibliogr. 18 poz., wzory
Twórcy
autor
  • Department of Mathematics, Keshav Mahavidyalaya, University of Delhi, Delhi, India
autor
  • Department of Mathematics, Kirori Mal College, University of Delhi, Delhi, India
Bibliografia
  • [1] A Cabot, and R. L. Francis: Solving certain non-convex quadratic minimization problems by ranking the extreme points, Operations Research,18,(1970), 82–86.
  • [2] B. K. Mohanty and T. A. S. Vijayaraghavan: A multi-objective programming problem and its equivalent goal programming problem with appropriate priorities and aspiration levels: A fuzzy approach, Computers and Operations Research, 22(8), (1995), 771–778.
  • [3] E. Wari and W. Zhu: A survey on metaheuristics for optimization in food manufacturing industry, Applied Soft Computing, 46(2016), 328–343.
  • [4] F. Waiel, Abd El- Wahed, and M. L. Sang: Interactive fuzzy goal programming for multi-objective transportation problems, Omega, 34(2), (2006),158–166.
  • [5] F. A. Al Khayyal: Linear, quadaratic and bilinear programming approaches to linear complimentarity problem, European Journal of Operational Research, 24(1986), 216–227.
  • [6] F. B. Abdelaziz, B. Aouni, and R. Le Fayedh: Multi-objective stochastic programming for portfolio selection, European Journal of Operational Research, 177(3), (2007), 1811–1823.
  • [7] G. Zhang, J. Han, and J. Lu: Fuzzy Bi-level Decision-Making Techniques: A Survey, International Journal of Computational Intelligence Systems, 9(2016), 25–34.
  • [8] H. J. Zimmermann: Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems,1(1), (1978), 45–55.
  • [9] H. Tanaka, T. Okuda, and K. Asai: On fuzzy mathematical programming, Journal of Cybernatics, 3(4), (1974), 37–46.
  • [10] J. P. Cote, P. Marcotte, and G. Savard: A bilevel modelling approach to pricing and fare optimisation in the airline industry, Journal of Revenue and Pricing Management, 2(1), (2003), 23–36.
  • [11] J. Wang, J. Heng, L. Xiao, and C. Wang: Research and application of a combined model based on multi-objective optimization for multi-step ahead wind speed forecasting, Energy, 125(2017), 591–613.
  • [12] K. G. Murty: Solving the fixed charge problem by ranking the extreme points, Operations research, 16, (1969), 268–279.
  • [13] M. A. Abo Sinna and I. A. Baky: Interactive balance space approach for solving multi-level multi-objective programming problems, Information Sciences, 177(16), (2007), 3397–3410.
  • [14] N. V. Thoi and H. Tuy: Convergence algorithms for minimizing a concave function, Mathematics of Operations Research, 5(1980), 556–566.
  • [15] O. Ben-Ayed, C. E. Blair, D. E. Boyce, and L. J. LeBlanc: Construction of a real-world bilevel linear programming model of the highway network design problem, Annals of Operations Research, 34(1), (1992), 219–254.
  • [16] O. E. Emam: Interactive approach to bi-level integer multi-objective fractional programming problem, Applied Mathematics and Computation, 223(2013), 17–24.
  • [17] S. Pramanik and T. K. Roy: Fuzzy goal programming approach to multi-level programming problems, European Journal of Operational Research, 176(2), (2007), 1151–1166.
  • [18] Y. Cui, Z. Geng, Q. Zhu, and Y. Han: Review: Multi-objective optimization methods and application in energy saving, Energy, 125(2017), 681–704.
Uwagi
The authors are grateful to the editor(s), and would like to thank the reviewers for their valuable suggestions and comments.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7d2b5f58-a0c8-4dcd-92be-2b97cf3cc37e
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