Search Results - nondifferentiable and nonconvex multi-objective programming problems

On Nondifferentiable and Nonconvex Vector Optimization Problems: On nondifferentiable and nonconvex vector optimization problems

Authors: Jen-Chih Yao Qamrul Hasan Ansari

Source: Journal of Optimization Theory and Applications. 106:475-488

Subject Terms: generalized solutions, fixed points, vector optimization problems, 0101 mathematics, subinvex functions, variational-like inequalities, h-subdifferential, 01 natural sciences, Multi-objective and goal programming

File Description: application/xml

Access URL: http://faculty.kfupm.edu.sa/math/qhansari/papers(PDF)(PS)/JOTA106(3)(2000)475-488.pdf
https://link.springer.com/article/10.1023/A%3A1004697127040
https://ideas.repec.org/a/spr/joptap/v106y2000i3d10.1023_a1004697127040.html

Necessary conditions and subgradient duality for nondifferentiable and nonconvex multi-objective programming problem

Authors: Bhatia, Davinder Datta, Neelam

Subject Terms: subgradient duality, nondifferentiable and nonconvex multi-objective programming problem, Sensitivity, stability, parametric optimization, subdifferential, Duality theory (optimization)

File Description: application/xml

Access URL: https://zbmath.org/3910154

Optimality and duality in nondifferentiable minimax programming problems involving ϵ-quasi solutions.

Authors: Van Su, Tran

Source: Positivity; Nov2024, Vol. 28 Issue 5, p1-32, 32p

Optimality conditions and sensitivity analysis in parametric nonconvex minimax programming.

Authors: An, D. T. V. Hung, N. H. Ngoan, D. T. et al.

Source: Journal of Global Optimization; Sep2024, Vol. 90 Issue 1, p53-72, 20p

Subject Terms: NONCONVEX programming, SUBDIFFERENTIALS, SENSITIVITY analysis

Optimality conditions and DC-Dinkelbach-type algorithm for vector fractional programming problems with ratios of difference of convex functions.

Authors: Ghazi, A. Roubi, A.

Source: Optimization; Feb2025, Vol. 74 Issue 2, p427-457, 31p

Subject Terms: CONVEX functions, CONVEX programming, ALGORITHMS, FRACTIONAL programming

?-Duality theorem of nondifferentiable nonconvex multiobjective programming: \(\epsilon\)-duality theorem of nondifferentiable nonconvex multiobjective programming

Authors: J. C. Liu

Source: Journal of Optimization Theory and Applications. 74:567-568

Subject Terms: Nonsmooth analysis, 0211 other engineering and technologies, 02 engineering and technology, Multi-objective and goal programming

File Description: application/xml

Access URL: https://zbmath.org/557746
https://doi.org/10.1007/bf00940328
https://link.springer.com/article/10.1007/BF00940466
https://link.springer.com/content/pdf/10.1007/BF00940328.pdf
https://dl.acm.org/doi/10.1007/BF00940466

Logarithmic penalty function method for invex multi-objective fractional programming problems.

Authors: Hassan, Mansur Baharum, Adam Ali, Majid Khan Majahar

Source: Journal of Taibah University for Science; Jan-Dec2020, Vol. 14 Issue 1, p211-216, 6p

Parametric nondifferentiable multiobjective fractional programming under (b)Ψ,Φ,p-univexity.

Authors: ANTCZAK, Tadeusz VERMA, Ram

Source: Turkish Journal of Mathematics; 2018, Vol. 42 Issue 5, p2125-2447, 23p

Subject Terms: MULTIPLE criteria decision making, FRACTIONAL programming, MATHEMATICAL optimization, PROBLEM solving, DUALITY (Logic)

Fractional semi-infinite programming problems: optimality conditions and duality via tangential subdifferentials.

Authors: Tripathi, Indira P. Arora, Mahamadsohil A.

Source: Computational & Applied Mathematics; Sep2024, Vol. 43 Issue 6, p1-25, 25p

(Φ, ρ)-Invexity in Nonsmooth Optimization.

Authors: Antczak, Tadeusz Stasiak, Aleksandra

Source: Numerical Functional Analysis & Optimization; Jan2011, Vol. 32 Issue 1, p1-25, 25p

Subject Terms: NONSMOOTH optimization, NONCONVEX programming, NONDIFFERENTIABLE functions, LIPSCHITZ spaces, CONVEX functions, MATHEMATICAL programming, PROBLEM solving

A new approximation approach to optimality and duality for a class of nonconvex differentiable vector optimization problems.

Authors: Antczak, Tadeusz

Source: Computational Management Science; Jan2021, Vol. 18 Issue 1, p49-71, 23p

Subject Terms: HYPOTHESIS, GOAL programming

Proximal Gradient-Type Algorithms for a Class of Bilevel Programming Problems.

Authors: Li, Dan Chen, Shuang Pang, Li-Ping

Source: Asia-Pacific Journal of Operational Research; Oct2022, Vol. 39 Issue 5, p1-17, 17p

Subject Terms: BILEVEL programming, ALGORITHMS, NONLINEAR programming, NONSMOOTH optimization

On solving a class of fractional semi-infinite polynomial programming problems.

Authors: Guo, Feng Jiao, Liguo

Source: Computational Optimization & Applications; Nov2021, Vol. 80 Issue 2, p439-481, 43p

Subject Terms: POLYNOMIALS, PROBLEM solving, SEMIDEFINITE programming, CONVEX programming, SUBDIFFERENTIALS

On directionally differentiable multiobjective programming problems with vanishing constraints.

Authors: Antczak, Tadeusz

Source: Annals of Operations Research; Sep2023, Vol. 328 Issue 2, p1181-1212, 32p

Subject Terms: CONVEX functions, NONLINEAR equations, HYPOTHESIS

Nonconvex optimization of desirability functions.

Authors: Akteke-Ozturk, Basak Koksal, Gulser Weber, Gerhard Wilhelm

Source: Quality Engineering. Apr-Jun2018, Vol. 30 Issue 2, p293-310. 18p.

Subject Terms: *MATHEMATICAL programming, *MATHEMATICAL optimization, NONCONVEX programming, GLOBAL optimization, METAHEURISTIC algorithms

Optimality conditions and sensitivity analysis in parametric convex minimax programming.

Authors: Thi Viet An, Duong Thi Ngoan, Dang Van Tuyen, Nguyen

Source: Applicable Analysis; Nov2024, Vol. 103 Issue 16, p2997-3016, 20p

Subject Terms: CONVEX programming, SENSITIVITY analysis, SUBDIFFERENTIALS

Robust optimality conditions and duality for nonsmooth multiobjective fractional semi-infinite programming problems with uncertain data.

Authors: Thu Thuy, Nguyen Thi Van Su, Tran

Source: Optimization; Jul2023, Vol. 72 Issue 7, p1745-1775, 31p

Subject Terms: FRACTIONAL programming, PARETO analysis, ROBUST optimization, SUBDIFFERENTIALS, CONJUGATE gradient methods

An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm.

Authors: Deb, Kalyanmoy Sinha, Ankur

Source: Evolutionary Computation; Fall2010, Vol. 18 Issue 3, p403-449, 47p, 2 Diagrams, 4 Charts, 33 Graphs

Subject Terms: MATHEMATICAL programming, EVOLUTIONARY computation, ALGORITHMS, MATHEMATICAL optimization, PROCESS optimization, QUADRATIC programming

E-optimality conditions and Wolfe E-duality for Edifferentiable vector optimization problems with inequality and equality constraints.

Authors: Antczak, Tadeusz Abdulaleem, Najeeb

Source: Journal of Nonlinear Sciences & Applications (JNSA); 2019, Vol. 12 Issue 11, p745-764, 20p

Subject Terms: FRACTIONAL programming, NONSMOOTH optimization, CONVEXITY spaces, MATHEMATICAL equivalence

Optimality conditions and duality for multiobjective semi-infinite programming problems on Hadamard manifolds using generalized geodesic convexity.

Authors: Upadhyay, Balendu Bhooshan Ghosh, Arnav Mishra, Priyanka et al.

Source: RAIRO: Operations Research (2804-7303); 2022, Vol. 56 Issue 4, p2037-2065, 29p

Subject Terms: GEODESICS, CONVEXITY spaces