Abstract
In this paper, we study optimality conditions of approximate solutions for nonsmooth semi-infinite programming problems. Three new classes of functions, namely \(\varepsilon \)-pseudoconvex functions of type I and type II and \(\varepsilon \)-quasiconvex functions are introduced, respectively. By utilizing these new concepts, sufficient optimality conditions of approximate solutions for the nonsmooth semi-infinite programming problem are established. Some examples are also presented. The results obtained in this paper improve the corresponding results of Son et al. (J Optim Theory Appl 141:389–409, 2009).
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Goberna, M.A., López, M.A.: Linear Semi-Infinite Optimization. Wiley, Chichester (1998)
Reemtsen, R., Ruckmann, J.J. (eds.): Semi-Infinite Programming. Kluwer, Boston (1998)
Stein, O.: How to solve a semi-infinite optimization problem. Eur. J. Oper. Res. 223, 312–320 (2012)
Cánovas, M.J., Kruger, A.Y., López, M.A., Parra, J., Théra, M.A.: Calmness modulus of linear semi-infinite programs. SIAM J. Optim. 24, 29–48 (2014)
Chuong, T.D., Huy, N.Q., Yao, J.C.: Subdifferentials of marginal functions in semi-infinite programming. SIAM J. Optim. 20, 1462–1477 (2009)
Dinh, N., Goberna, M.A., López, M.A., Son, T.Q.: New Farkas-type constraint qualifications in convex infinite programming. ESAIM Control Optim. Calc. Var. 13, 580–597 (2007)
Dinh, N., Mordukhovich, B.S., Nghia, T.T.A.: Subdifferentials of value functions and optimality conditions for DC and bilevel infinite and semi-infinite programs. Math. Program. 123, 101–138 (2010)
Huy, N.Q., Yao, J.C.: Semi-infinite optimization under convex function perturbations: Lipschitz stability. J. Optim. Theory Appl. 128, 237–256 (2011)
Kanzi, N.: Constraint qualifications in semi-infinite systems and their applications in nonsmooth semi-infinite programs with mixed constraints. SIAM J. Optim. 24, 559–572 (2014)
Kim, D.S., Son, T.Q.: Characterizations of solutions sets of a class of nonconvex semi-infinite programming problems. J. Nonlinear Convex Anal. 12, 429–440 (2011)
Li, C., Zhao, X.P., Hu, Y.H.: Quasi-slater and Farkas–Minkowski qualifications for semi-infinite programming with applications. SIAM J. Optim. 23, 2208–2230 (2013)
Long, X.J., Peng, Z.Y., Wang, X.F.: Characterizations of the solution set for nonconvex semi-infinite programming problems. J. Nonlinear Convex Anal. 17, 251–265 (2016)
Mishra, S.K., Jaiswal, M., Le Thi, H.A.: Nonsmooth semi-infinite programming problem using limiting subdifferentials. J. Glob. Optim. 53, 285–296 (2012)
Mordukhovich, B.S., Nghia, T.T.A.: Subdifferentials of nonconvex supremum functions and their applications to semi-infinite and infinite programs with Lipschitzian date. SIAM J. Optim. 23, 406–431 (2013)
Son, T.Q., Kim, D.S.: A new approach to characterize the solution set of a pseudoconvex programming problem. J. Comput. Appl. Math. 261, 333–340 (2014)
Kutateladze, S.S.: Convex \(\varepsilon \)-programming. Sov. Math. Dokl. 20, 391–393 (1979)
Durea, J., Dutta, J., Tammer, C.: Lagrange multipliers for \(\varepsilon \)-pareto solutions in vector optimization with nonsolid cones in Banach spaces. J. Optim. Theory Appl. 145, 196–211 (2010)
Gao, Y., Hou, S.H., Yang, X.M.: Existence and optimality conditions for approximate solutions to vector optimization problems. J. Optim. Theory Appl. 152, 97–120 (2012)
Long, X.J., Li, X.B., Zeng, J.: Lagrangian conditions for approximate solutions on nonconvex set-valued optimization problems. Optim. Lett. 7, 1847–1856 (2013)
Loridan, P.: Necessary conditions for \(\varepsilon \)-optimality. Math. Program. Study 19, 140–152 (1982)
Strodiot, J.J., Nguyen, V.H., Heukemes, N.: \(\varepsilon \)-Optimal solutions in nondifferentiable convex programming and some related questions. Math. Program. 25, 307–328 (1983)
Son, T.Q., Strodiot, J.J., Nguyen, V.H.: \(\varepsilon \)-Optimality and \(\varepsilon \)-Lagrangian duality for a nonconvex problem with an infinite number of constraints. J. Optim. Theory Appl. 141, 389–409 (2009)
Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, New York (1983)
Mifflin, R.: Semismooth and semiconvex functions in constrained optimization. SIAM J. Control Optim. 15, 959–972 (1977)
Gupta, A., Mehra, A., Bhatia, D.: Approximate convexity in vector optimisation. Bull. Aust. Math. Soc. 74, 207–218 (2006)
Bhatia, D., Gupta, A., Arora, P.: Optimality via generalized approximate convexity and quasiefficiency. Optim. Lett. 7, 127–135 (2013)
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This work was partially supported by the National Natural Science Foundation of China (Nos. 11471059 and 11671282), the Chongqing Research Program of Basic Research and Frontier Technology (Nos. cstc2014jcyjA00037, cstc2015jcyjB00001 and cstc2014jcyjA00033), the Education Committee Project Research Foundation of Chongqing (Nos. KJ1400618 and KJ1400630), the Program for University Innovation Team of Chongqing (No. CXTDX201601026) and the Education Committee Project Foundation of Bayu Scholar.
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Long, XJ., Xiao, YB. & Huang, NJ. Optimality Conditions of Approximate Solutions for Nonsmooth Semi-infinite Programming Problems. J. Oper. Res. Soc. China 6, 289–299 (2018). https://doi.org/10.1007/s40305-017-0167-1
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DOI: https://doi.org/10.1007/s40305-017-0167-1
Keywords
- Nonsmooth semi-infinite programming problem
- Optimality condition
- Approximate solution
- Generalized pseudoconvexity