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Strictly feasible solutions and strict complementarity in multiple objective linear optimization

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Abstract

Recently, Luc defined a dual program for a multiple objective linear program. The dual problem is also a multiple objective linear problem and the weak duality and strong duality theorems for these primal and dual problems have been established. Here, we use these results to prove some relationships between multiple objective linear primal and dual problems. We extend the available results on single objective linear primal and dual problems to multiple objective linear primal and dual problems. Complementary slackness conditions for efficient solutions, and conditions for the existence of weakly efficient solution sets and existence of strictly primal and dual feasible points are established. We show that primal-dual (weakly) efficient solutions satisfying strictly complementary conditions exist. Furthermore, we consider Isermann’s and Kolumban’s dual problems and establish conditions for the existence of strictly primal and dual feasible points. We show the existence of primal-dual feasible points satisfying strictly complementary conditions for Isermann’s dual problem. Also, we give an alternative proof to establish necessary conditions for weakly efficient solutions of multiple objective programs, assuming the Kuhn–Tucker (KT) constraint qualification. We also provide a new condition to ensure the KT constraint qualification.

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References

  • Arbel A, Oren SS (1996) Using approximate gradients in developing an interactive interior primal-dual multiobjective linear programming algorithm. Eur J Oper Res 89:202–211

    Article  Google Scholar 

  • Bagchi U (1989) Simultaneous minimization of mean and variation of flow time and waiting time in single machine systems. Oper Res 37:118–125

    Article  Google Scholar 

  • Balbas A, Heras A (1993) Duality theory for infinite dimensional multiobjective linear programming. Eur J Oper Res 68:379–388

    Article  Google Scholar 

  • Balbas A, Jimenez P, Heras A (1999) Duality theory and slackness conditions in multiobjective linear linear programming. Comput Math Appl 37:101–109

    Article  Google Scholar 

  • Carrizosa E, Conde E, Munoz M, Puerto J (1995) Planar pointobjective location problems with nonconvex constraints: a geometrical construction. J Global Optim 6:7786

    Article  Google Scholar 

  • Carrizosa E, Frenk JBG (1998) Dominating sets for convex functions with some applications. J Optim Theory Appl 96:281–295

    Article  Google Scholar 

  • Corley HW (1984) Duality theory for the matrix linear programming problem. J Math Anal Appl 104:47–52

    Article  Google Scholar 

  • Ehrgott M (2005) Multicrit Optim. Springer, Berlin, Heidelberg

    Google Scholar 

  • Eschenauer H, Koski J, Osyczka A (1990) Multicrit Des Optim. Springer, Berlin

    Book  Google Scholar 

  • Evans G (1984) Overview of techniques for solving multiobjective mathematical programs. Manag Sci 30:1268–1282

    Article  Google Scholar 

  • Fu Y, Diwekar UM (2004) An efficient sampling approach to multiobjective optimization. Annals Oper Res 132:109–134

    Article  Google Scholar 

  • Galperin E, Guerra JJ (2001) Duality of nonscalarized multiobjective linear programs: dual balance, level sets and dual clusters of optimal vectors. J Optim Theory Appl 108:109–137

    Article  Google Scholar 

  • Gravel M, Martel IM, Madeau R, Price W, Tremblay R (1992) A multicriterion view of optimal ressource allocation in job-shop production. Eur J Oper Res 61:230–244

    Article  Google Scholar 

  • Heyde F, Lohne A (2008) Geometric duality in multiple objective linear programming. SIAM J Optim 19:836–845

    Article  Google Scholar 

  • Heyde F, Lohne A, Tammer C (2009) Set-valued duality theory for multiple objective linear programs and application to mathematical finance. Math Methods Oper Res 69:159–179

    Article  Google Scholar 

  • Isermann H (1978) On some relations between a dual pair of multiple objective linear programs. Zeitschrift fur Oper Res 22:33–41

    Google Scholar 

  • Kornbluth JSH (1974) Duality, indifference and sensitivity analysis in multiple objective linear programming. Oper Res Quat 25:599–614

    Article  Google Scholar 

  • Leschine TM, Wallenius H, Verdini WA (1992) Interactive multiobjective analysis and assimilative capacity-based ocean disposal decisions. Eur J Oper Res 56:278–289

    Article  Google Scholar 

  • Luc DT (2011) On duality in multiple objective linear programming. Eur J Oper Res 210:158–168

    Article  Google Scholar 

  • Luc DT (2016) Multiobjective linear programming: an introduction. Springer, Switzerland

    Book  Google Scholar 

  • Luenberger DG, Ye Y (2008) Linear and nonlinear programming, 3rd edn. Springer, New York

    Google Scholar 

  • Mangasarian OL (1969) Nonlinear programming. McGraw-Hill, New York

    Google Scholar 

  • Nocedal J, Wright SJ (2006) Numerical optimization. Springer, USA

    Google Scholar 

  • Prabuddha D, Gosh JB, Wells CE (1992) On the minimization of completion time variance with a bicriteria extension. Oper Res 40:1148–1155

    Article  Google Scholar 

  • Rodder W (1977) A generalized saddlepoint theory; its application to duality theory for linear vector optimum problems. Eur J Oper Res 1:55–59

    Article  Google Scholar 

  • Roos C, Terlaky T, Vial J-Ph (1997) Theory and algorithms for linear optimization: an interior point approach. Wiley, New York

    Google Scholar 

  • Shan S, Wang GG (2005) An efficient pareto set identification approach for multiobjective optimization on black-box functions. J Mech Des 127:866–874

    Article  Google Scholar 

  • Tavana M (2004) A subjective assessment of alternative mission architectures for the human exploration of Mars at NASA using multicriteria decision making. Comput Oper Res 31:1147–1164

    Article  Google Scholar 

  • Vanderbei RJ (2014) Linear programming: foundations and extensions, Fourth Edition, International Series in Operations Research and Management Science, Vol 196

  • White DJ (1998) Epsilon-dominating solutions in mean-variance portfolio analysis. Eur J Oper Res 105:457–466

    Article  Google Scholar 

  • Wright SJ (1997) Primal-dual interior-point methods. SIAM, Philadelphia

    Book  Google Scholar 

Download references

Acknowledgements

The authors thank the Research Council of Sharif University of Technology for supporting this work. They also sincerely thank the two anonymous referees and Thierry Marchant, Editor-in-Chief, for their constructive remarks resulting in an improved presentation of the manuscript.

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Correspondence to N. Mahdavi-Amiri.

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Mahdavi-Amiri, N., Salehi Sadaghiani, F. Strictly feasible solutions and strict complementarity in multiple objective linear optimization. 4OR-Q J Oper Res 15, 303–326 (2017). https://doi.org/10.1007/s10288-016-0338-7

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  • DOI: https://doi.org/10.1007/s10288-016-0338-7

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