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Relationships between interval-valued vector optimization problems and vector variational inequalities

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Abstract

In this paper, we study some relationships between interval-valued vector optimization problems and vector variational inequalities under the assumptions of LU-convex smooth and non-smooth objective functions. We identify the weakly efficient points of the interval-valued vector optimization problems and the solutions of the weak vector variational inequalities under smooth and non-smooth LU-convexity assumptions.

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References

  • Ansari, Q. H., & Rezaie, M. (2013). Generalized vector variational-like inequalities and vector optimization in Asplund spaces. Optimization, 62(6), 721–734.

    Article  MathSciNet  MATH  Google Scholar 

  • Bhurjee, A. K., & Panda, G. (2012). Efficient solution of interval optimization problem. Mathematical Methods of Operations Research, 76, 273–288.

    Article  MathSciNet  MATH  Google Scholar 

  • Chalco-Cano, Y., Lodwick, W. A., & Rufian-Lizana, A. (2013). Optimality conditions of type KKT for optimization problem with interval-valued objective function via generalized derivative. Fuzzy Optimization and Decision Making, 3(12), 305–322.

    Article  MathSciNet  Google Scholar 

  • Chen, J. W., Wan, Z., & Chao, Y. J. (2013). Nonsmooth multiobjective optimization problems and weak vector quasi variational inequalities. Computational and Applied Mathematics, 32(2), 291–301.

    Article  MathSciNet  MATH  Google Scholar 

  • Clarke, F. H. (1983). Optimization and nonsmooth analysis. New York: Wiley.

    MATH  Google Scholar 

  • Giannessi, F. (1980). Theorems of the alternative, quadratic programming and complementarity problems. In R. W. Cottle, F. Giannessi, & J. L. Lions (Eds.), Variational Inequalities and complementarity problems (pp. 151–186). New York: Wiley Press.

    Google Scholar 

  • Giannessi, F. (2000). Vector variational inequalities and vector equilibria: Mathematical theories. Dordrecht, Holland: Kluwer Academic Publishers.

    Book  Google Scholar 

  • Gupta, A., Mehra, A., & Bhatia, D. (2006). Approximate convexity in vector optimization. Bulletin of the Australian Mathematical Society, 74, 207–218.

    Article  MathSciNet  MATH  Google Scholar 

  • Jayswal, A., Stancu-Minasian, I., & Ahmad, I. (2011). On sufficiency and duality for a class of interval-valued programming problems. Applied Mathematics and Computation, 218, 4119–4127.

    Article  MathSciNet  MATH  Google Scholar 

  • Jiang, C., Han, X., & Liu, G. P. (2008). A nonlinear interval number programming method for uncertain optimization problems. European Journal of Operational Research, 188, 1–13.

    Article  MathSciNet  MATH  Google Scholar 

  • Laha, V., Al-Shamary, B., & Mishra, S. K. (2014). On nonsmooth V-invexity and vector variational- like inequalities in terms of the Michel–Penot subdifferentials. Optimization Letters, 8(5), 1675–1690.

    Article  MathSciNet  MATH  Google Scholar 

  • Mishra, S. K., Wang, S. Y., & Lai, K. K. (2009). Generalized convexity and vector optimization. Berlin: Springer.

    Google Scholar 

  • Mishra, S. K., & Laha, V. (2012). On V-r-invexity and vector variational-like inequalities. Filomat, 26(5), 1065–1073.

    Article  MathSciNet  MATH  Google Scholar 

  • Mishra, S. K., & Laha, V. (2013). A note on the paper on approximately star-shaped functions and approximate vector variational inequalities. Journal of Optimization Theory and Applications, 159, 554–557.

    Article  MathSciNet  MATH  Google Scholar 

  • Mishra, S. K., & Laha, V. (2013). On approximately star-shaped functions and approximate vector variational inequalities. Journal of Optimization Theory and Applications, 156, 278–293.

    Article  MathSciNet  MATH  Google Scholar 

  • Mishra, S. K., & Upadhyay, B. B. (2013). Some relations between vector variational inequality problems and nonsmooth vector optimization problems using quasi efficiency. Positivity, 17(4), 1071–1083.

    Article  MathSciNet  MATH  Google Scholar 

  • Moore, R. E. (1979). Method and applications of interval analysis. Philadelphia: SIAM.

    Book  Google Scholar 

  • Moore, R., & Lodwick, W. (2003). Interval analysis and fuzzy set theory. Fuzzy Sets and Systems, 135(1), 5–9.

    Article  MathSciNet  MATH  Google Scholar 

  • Ngai, H. V., Luc, D. T., & Thera, M. (2000). Approximate convex functions. Journal of nonlinear and convex analysis, 1, 155–176.

    MATH  Google Scholar 

  • Ruiz-Garzrón, G., Osuna-Grómez, R., & Rufirán-Lizana, A. (2004). Relationships between vector variational-like inequality and optimization problems. European Journal of Operational Research, 157, 113–119.

    Article  MathSciNet  Google Scholar 

  • Stefanini, L., & Bede, B. (2009). Generalized Hukuhara differentiability of interval-valued functions and interval differential equations. Nonlinear Analysis, 71, 1311–1328.

    Article  MathSciNet  MATH  Google Scholar 

  • Sun, Y. H., & Wang, L. S. (2013). Optimalty conditions and duality in nondifferentiable interval-valued programming. Journal of Industrial and Managenment Optimation, 9, 131–142.

    Article  MATH  Google Scholar 

  • Wu, H.-C. (2007). The Karush–Kuhn–Tucker optimality conditions in an optimization problem with interval-valued objective function. European Journal of Operational Research, 176, 46–59.

    Article  MathSciNet  MATH  Google Scholar 

  • Wu, H.-C. (2009). The Karush–Kuhn–Tucker optimality conditions in multiobjective programming problems with interval-valued objective function. European Journal of Operational Research, 196, 49–60.

    Article  MathSciNet  MATH  Google Scholar 

  • Yang, X. Q. (1997). Vector variational inequality and vector pseudolinear optimization. Journal of Optimization Theory and Applications, 95, 729–734.

    Article  MathSciNet  MATH  Google Scholar 

  • Zhang, J. K., Liu, S. Y., Li, L. F., & Feng, Q. X. (2014). The KKT optimality conditions in a class of generalized convex optimization problems with an interval-valued objective function. Optimation Letters, 8, 607–631.

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgments

The authors would like to thank the referees for careful reading and valuable suggestions that has improved the paper in its present form. This work was partially supported by Natural Science Basic Research Plan in Shaanxi Province of China (Program Nos. 2013JQ1020, 2013KJXX-29, 2014 JM8307), National Natural Science Foundation of China (Program Nos. 11301415, 61100166, 61303 092, 11401469, 11426176, 11401357), Special funds for the construction of key disciplines funded projects in Shaanxi Province, Project funded by China Postdoctoral Science Foundation (No.2014M552453), Hanzhong administration of science and technology under Grant No. 2013hzzx-39, National Key Technologies R&D Program of China under Grant No. 2012BAH16F02, Foundation from Xi’an University of Posts & Telecommunications for Young Teachers: ZL2014-34, and the Science Plan Foundations of the Education Bureau of Shaanxi Province (Nos.11JK1051, 2013JK1098, 2013JK1130, 2013JK1182, 14JK1661).

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Correspondence to Jianke Zhang.

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Zhang, J., Zheng, Q., Ma, X. et al. Relationships between interval-valued vector optimization problems and vector variational inequalities. Fuzzy Optim Decis Making 15, 33–55 (2016). https://doi.org/10.1007/s10700-015-9212-x

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