Multitime multiobjective variational problems via η-approximation method
DOI:
https://doi.org/10.2298/YJOR201115015JKeywords:
Multitime multiobjective variational problem, η-approximation method, Efficient solution, Optimality conditions, Generalized invex functionsAbstract
The present article is devoted to multitime multiobjective variational problems via η-approximation method. In this method, an η-approximation approach is applied to the considered problem, and a new problem is constructed, called as η- approximated multitime multiobjective variational problem that contains the change in objective and both constraints functions. The equivalence between an efficient (Pareto optimal) solution to the main multitime multiobjective variational problem is derived along with its associated η-approximated problem under invexity defined for a multitime functional. Furthermore, we have also discussed the saddle-point criteria for the problem considered and its associated η-approximated problems via generalized invexity assumptions.References
Ahmed, H. F., “A numerical technique for solving multi-dimensional fractional optimal control problems,” Journal of Taibah University for Science, 12 (5) (2018) 1–12.
Ahmad, I., Gualti, T. R., “Mixed type duality for multiobjective variational problems with generalized (F,ρ)-convexity,” Journal of Mathematical Analysis and Applications, 306 (2) (2005) 669–683.
Ahmad, I., Husain, Z., Al-Homidan, S., “Mixed type symmetric duality for multiobjective variational problems with cone constraints,” International Transactions in Operational Research, 21 (2) (2014) 291–310.
Ahmad, I., Sharma, S., “Sufficiency and duality for multiobjective variational control problems with generalized (F,α,ρ,θ)−V-convexity,” Nonlinear Analysis, 72 (2010) 2564–2579.
Ahmad, I., Singh, D., Dar, B. A., “Optimality conditions for invex interval valued nonlinear programming problems involving generalized H-derivative,” FILOMAT, 30 (8) (2016) 2121–2138.
Andersson, J., A Survey of Multiobjective Optimization in Engineering Design, Linköping University 581 83 Linköping, Sweden, 2000.
Antczak, T., “A new approach to multiobjective programming with a modified objective function,” Journal of Global Optimization, 27 (4) (2003) 485–495.
Antczak, T., “G-pre-invex functions in mathematical programming,” Journal of Computational and Applied Mathematics, 217 (1) (2008) 212–226.
Antczak, T., “Saddle points criteria in nondifferentiable multiobjective programming with V-invex functions via an η-approximation method,” Computers & Mathematics with Applications, 60 (9) (2010) 2689–2700.
Antczak, T., “On efficiency and mixed duality for a new class of nonconvex multiobjective variational control problems,” Journal of Global Optimization, 59 (4) (2014) 757–785.
Antczak, T., “Optimality conditions and duality results for nonsmooth vector optimization problems with the multiple interval-valued objective function,” Acta Mathematica Scientia, 37 (4) (2017) 1133–1150.
Antczak, T., Jayswal, A., Jha, S., “The modified objective function method for univex multiobjective variational problems,” Bulletin of the Iranian Mathematical Society, 45 (1) (2019) 267–282.
Arana-Jiménez, M., Ruiz-Garzón, G., Rufián-Lizana, A., Osuna-Gómez, R., “A necessary and sufficient condition for duality in multiobjective variational problems,” European Journal of Operational Research, 201 (3) (2010) 672–681.
Arana-Jiménez, M., Ruiz-Garzón, G., Rufián-Lizana, A., Osuna-Gómez, R., “Weak efficiency in multiobjective variational problems under generalized convexity,” Journal of Global Optimization, 52 (2012) 109–121.
Ben-Israel, A., Mond, B., “What is invexity?” Journal of the Australian Mathematical Society Series B, 28 (1) (1986) 1–9.
Craven, B. D., “Invex functions and constrained local minima,” Bulletin of the Iranian Mathematical Society, 24 (3) (1981) 357–366.
Craven, B. D., “On continuous programming with generalized convexity,” Asia-Pacific Journal of Operational Research, 10 (1993) 219–232.
Edgeworth, F. Y., Mathematical Psychics, Kegan Paul, London, 1881.
Hanson, M. A., “Bounds for functionally convex optimal control problems,” Journal of Mathematical Analysis and Applications, 8 (1964) 84–89.
Hanson, M. A., “On sufficiency of the Kuhn-Tucker conditions,” Journal of Mathematical Analysis and Applications, 80 (2) (1981) 545–550.
Jayswal, A., Antczak, T., Jha, S., “Modified objective function approach for multitime variational problems,” Turkish Journal of Mathematics, 42 (2018) 1111–1129.
Khazafi, K., Rueda, N., Enflo, P., “Sufficiency and duality for multiobjective control problems under generalized (B,ρ)-type I functions,” Journal of Global Optimization, 46 (1) (2010) 111–132.
Martins, F., Costa, C. A. V., “Multiobjective optimization with economic and environmental objective functions using Modified Simulated Annealing,” Computer Aided Chemical Engineering, 28 (2010) 919–924.
Martin, D. H., “The essence of invexity,” Journal of Optimization Theory and Applications, 47 (1985) 65–76.
Mititelu, S., Postolache, M., “Mond-Weir dualities with Lagrangians for multiobjective fractional and nonfractional variational problems,” Journal of Advanced Mathematical Studies, 3 (1) (2010) 41–58.
Mititelu, S., Postolache, M., “Efficiency and duality for multitime vector fractional variational problems on manifolds,” Balkan Journal of Geometry and Its Applications, 16 (2011) 90–101.
Mititelu, S., Stancu-Minasian, I. M., “Efficiency and duality for multiobjective fractional variational problems with (ρ,b)-quasiinvexity,” Yugoslav Journal of Operations Research, 19 (1) (2009) 85–99.
Pareto, V., “Manual of political economy,” Translated by Schwier, A. S., Augustus M. Kelley Publishers, New York, 1971.
Pitea, A., Antczak, T., “Proper efficiency and duality for a new class of nonconvex multitime multiobjective variational problems,” Journal of Inequalities and Applications, 333 (2014) 1–20.
Pitea, A., Postolache, M., “Duality theorems for a new class of multitime multiobjective variational problems,” Journal of Global Optimization, 53 (1) (2012) 47–58.
Pitea, A., Postolache, M., “Minimization of vectors of curvilinear functionals on the second order jet bundle. Sufficient efficiency conditions,” Optimization Letters, 6 (8) (2012) 1657–1669.
Pitea, A., Udriste, C., Mititelu, S., “PDI & PDE-constrained optimization problems with curvilinear functional quotients as objective vectors,” Balkan Journal of Geometry and Its Applications, 14 (2009) 75–88.
Postolache, M., “Duality for multitime multiobjective ratio variational problems on first order jet bundle,” Abstract and Applied Analysis, 2 (2012) 1–18.
Ruiz-Garzon, G., Osuna-Gomez, R., Rufian-Lizana, A., Hernandez-Jimenez, B., “Optimality in continuous-time multiobjective optimization and vector variational-like inequalities,” TOP, 23 (2015) 198–219.
Stancu, A. M., Mathematical Programming with Type-I Functions, Matrix Rom, Bucharest, 2013.
Stancu-Minasian, I. M., Mititelu, S., “Multiobjective fractional variational problems with b-quasiinvexity,” Proceedings of the Romanian Academy Series A- Mathematics Physics Technical Sciences Information Science, 9 (1) (2008) 5–11.
Udriste, C., “Multitime controllability, observability and bang-bang principle,” Journal of Optimization Theory and Applications, 139 (1) (2008) 141–157.
Udriste, C., Tevy, I., “Multitime dynamic programming for curvilinear integral actions,” Journal of Optimization Theory and Applications, 146 (1) (2010) 189–207.
Yan, C., Feng, B., “Sufficiency and Duality for Nonsmooth Multiobjective Programming Problems Involving Generalized (Φ,ρ) − V-Type I Functions,” Journal of Mathematical Modelling and Algorithms in Operations Research, 14 (2015) 159–172.
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