Výsledky vyhledávání - nondifferentiable and nonconvex multi-objective programming (problem OR problems)

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

Autoři: Jen-Chih Yao Qamrul Hasan Ansari

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

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

Popis souboru: application/xml

Přístupová URL adresa: 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

Autoři: Bhatia, Davinder Datta, Neelam

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

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/3910154

Lagrange duality and saddle point criteria for semi-infinite variational programming problem with Caputo-Fabrizio fractional derivative.

Autoři: Jayswal, Anurag Uniyal, Gaurav

Zdroj: Journal of Applied Mathematics & Computing; Aug2025, Vol. 71 Issue 4, p5955-5975, 21p

Solving Convex Multi-Objective Optimization Problems via a Capable Neural Network Scheme.

Autoři: Jahangiri, Mohammadreza Nazemi, Alireza

Zdroj: International Journal of Computational Intelligence & Applications; Dec2024, Vol. 23 Issue 4, p1-23, 23p

Témata: CONVEX programming, PARETO optimum, COMPUTER simulation

A note on optimality conditions in terms of convexificators for a bilevel multiobjective optimization problem.

Autoři: Dempe, Stephan Gadhi, Nazih Abderrazzak

Zdroj: Optimization; Mar2025, Vol. 74 Issue 4, p967-979, 13p

Témata: MULTI-objective optimization, BILEVEL programming

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

Autoři: Van Su, Tran

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

A new class of generalized convex functions and mathematical programming.

Autoři: Abdulaleem, Najeeb Lalmalsawma, Solomon Singh, Vinay

Zdroj: International Journal of Nonlinear Analysis & Applications; May2025, Vol. 16 Issue 5, p153-164, 12p

Témata: CONVEX functions, MATHEMATICAL programming, MATHEMATICAL equivalence, NONLINEAR analysis, NONLINEAR operators, INFORMATION & communication technologies

Optimality conditions using convexifactors for a multi-objective fractional bilevel programming problem.

Autoři: Kohli, Bhawna

Zdroj: Tamkang Journal of Mathematics; 2023, Vol. 54 Issue 1, p21-41, 21p

Témata: BILEVEL programming, CONVEX functions, CONVECTIVE flow, MATHEMATICS, CYBERNETICS

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

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

Zdroj: 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.

Autoři: ANTCZAK, Tadeusz VERMA, Ram

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

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

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

Autoři: Antczak, Tadeusz

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

Témata: HYPOTHESIS, GOAL programming

On directionally differentiable multiobjective programming problems with vanishing constraints.

Autoři: Antczak, Tadeusz

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

Témata: CONVEX functions, NONLINEAR equations, HYPOTHESIS

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

Autoři: Thu Thuy, Nguyen Thi Van Su, Tran

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

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

Optimality conditions for an interval-valued vector problem

Autoři: Prasad, Ashish Kumar Khatri, Julie Ahmad, Izhar

Témata: keyword:interval-valued vector optimization problem, keyword:quasidifferentiable $\mathfrak {F}$-convexity, keyword:LU-Pareto optimality, msc:49J52, msc:90C26, msc:90C29, msc:90C30

Popis souboru: application/pdf

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Dostupnost: http://hdl.handle.net/10338.dmlcz/152989

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

Autoři: Deb, Kalyanmoy Sinha, Ankur

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

Témata: MATHEMATICAL programming, EVOLUTIONARY computation, ALGORITHMS, MATHEMATICAL optimization, PROCESS optimization, QUADRATIC programming

Isolated efficiency in nonsmooth semi-infinite multi-objective programming.

Autoři: Rahimi, Morteza Soleimani-damaneh, Majid

Zdroj: Optimization; Nov2018, Vol. 67 Issue 11, p1923-1947, 25p

Témata: NONSMOOTH optimization, MULTIPLE criteria decision making, COMPUTER programming, MATHEMATICAL proofs, PROBLEM solving

Saddle point criteria and Wolfe duality in nonsmooth (Φ, ρ)-invex vector optimization problems with inequality and equality constraints.

Autoři: Antczak, Tadeusz

Zdroj: International Journal of Computer Mathematics; May2015, Vol. 92 Issue 5, p882-907, 26p

Témata: SADDLEPOINT approximations, MATHEMATICAL inequalities, MATHEMATICAL optimization, MATHEMATICS theorems, NONDIFFERENTIABLE functions, LAGRANGIAN functions

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

Autoři: Antczak, Tadeusz Abdulaleem, Najeeb

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

Témata: FRACTIONAL programming, NONSMOOTH optimization, CONVEXITY spaces, MATHEMATICAL equivalence

OPTIMALITY CONDITIONS AND DUALITY IN NONDIFFERENTIABLE INTERVAL-VALUED PROGRAMMING.

Autoři: YUHUA SUN LAISHENG WANG

Zdroj: Journal of Industrial & Management Optimization; Jan2013, Vol. 9 Issue 1, p131-142, 12p

Témata: MATHEMATICAL optimization, DUALITY theory (Mathematics), NONDIFFERENTIABLE functions, MATHEMATICAL programming, INTERVAL analysis

Optimality and duality for \begin{document}$ E $\end{document}-differentiable multiobjective programming problems involving \begin{document}$ E $\end{document}-type Ⅰ functions.

Autoři: Abdulaleem, Najeeb

Zdroj: Journal of Industrial & Management Optimization; Feb2023, Vol. 19 Issue 2, p1513-1527, 15p