Suchergebnisse - nonsmooth multiobjective programming problem with the multiple interval-objective function~

Optimality conditions and duality results for nonsmooth vector optimization problems with the multiple interval-valued objective function

Autoren: Tadeusz Antczak

Quelle: Acta Mathematica Scientia. 37:1133-1150

Schlagwörter: 0211 other engineering and technologies, 02 engineering and technology, 16. Peace & justice

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0252960217300620
http://121.43.60.238/sxwlxbB/CN/abstract/abstract13420.shtml

On first and second order multiobjective programming with interval-valued objective functions.

Autoren: Antczak, Tadeusz

Quelle: Applicable Analysis; Apr2024, Vol. 103 Issue 6, p1098-1117, 20p

Schlagwörter: SET-valued maps, DIFFERENTIABLE functions, DECISION making

Solution of a bi-level linear programming problem with uncertain parameters and its application.

Autoren: Bhurjee, Ajay Kumar Kumar, Pankaj Kumar, Pavan

Quelle: Operations Research & Decisions; 2025, Vol. 35 Issue 2, p1-22, 22p

Schlagwörter: NONLINEAR programming, LINEAR programming, SUPPLY chain disruptions, INTERVAL analysis, NONLINEAR equations

Interval‐valued variational programming problem with Caputo–Fabrizio fractional derivative.

Autoren: Rayanki, Vivekananda Ahmad, Izhar Kummari, Krishna

Quelle: Mathematical Methods in the Applied Sciences; Nov2023, Vol. 46 Issue 16, p17485-17510, 26p

On semidifferentiable interval-valued programming problems.

Autoren: Lai, Kin Keung Shahi, Avanish Mishra, Shashi Kant

Quelle: Journal of Inequalities & Applications; 2/17/2021, Vol. 2021 Issue 1, p1-18, 18p

Schlagwörter: LAGRANGIAN points, LAGRANGIAN functions

ON OPTIMALITY CONDITIONS AND DUALITY FOR NON-DIFFERENTIABLE INTERVAL-VALUED PROGRAMMING PROBLEMS WITH THE GENERALIZED (F, ρ)-CONVEXITY.

Autoren: Chen, Xiuhong Li, Zhihua

Quelle: Journal of Industrial & Management Optimization; Jul2018, Vol. 14 Issue 3, p895-N.PAG, 18p

Schlagwörter: NONDIFFERENTIABLE functions, MATHEMATICAL models of uncertainty, COMPUTER simulation, COMPUTER programming, MATHEMATICAL optimization

Multi-objective interval fractional programming problems : An approach for obtaining efficient solutions.

Autoren: Bhurjee, Ajay Panda, Geetanjali

Quelle: OPSEARCH; Mar2015, Vol. 52 Issue 1, p156-167, 12p

On conjugate direction-type method for interval-valued multiobjective quadratic optimization problems.

Autoren: Upadhyay, B. B. Pandey, Rupesh K. Zeng, Shengda et al.

Quelle: Numerical Algorithms; Sep2025, Vol. 100 Issue 1, p455-485, 31p

Schlagwörter: MULTI-objective optimization, QUADRATIC programming, OPTIMIZATION algorithms, ITERATIVE methods (Mathematics), PARETO optimum, MATHEMATICAL optimization, EMPIRICAL research

On multiple objective interval-valued optimisation models with controlled dynamical system constraints.

Autoren: Preeti Treanţă, Savin Ciontescu, Marilena

Quelle: International Journal of Control; Jul2025, Vol. 98 Issue 7, p1713-1721, 9p

Schlagwörter: DYNAMICAL systems, CONSTRAINED optimization, DYNAMIC programming, OPTIMIZATION algorithms, MATHEMATICAL optimization, MATHEMATICAL functions, MULTIVARIABLE control systems

Enhanced Interval Quadratic Fractional Programming for Maximizing Sharpe Ratio in Portfolio Optimization.

Autoren: Patel, Mridul Behera, Jyotirmayee Kumar, Pankaj

Quelle: International Journal of Applied & Computational Mathematics; Aug2025, Vol. 11 Issue 4, p1-30, 30p

On approximate quasi Pareto solutions in nonsmooth semi-infinite interval-valued vector optimization problems.

Autoren: Huy Hung, Nguyen Ngoc Tuan, Hoang Van Tuyen, Nguyen

Quelle: Applicable Analysis; May2023, Vol. 102 Issue 9, p2432-2448, 17p

Schlagwörter: CONVEX functions, NONSMOOTH optimization

OPTIMALITY CONDITIONS AND DUALITY FOR E-DIFFERENTIABLE FRACTIONAL MULTIOBJECTIVE INTERVAL VALUED OPTIMIZATION PROBLEMS WITH E-INVEXITY.

Autoren: ZAI-YUN PENG CHUN-YAN DENG YONG ZHAO et al.

Quelle: Applied Set-Valued Analysis & Optimization; 2024, Vol. 6 Issue 3, p295-307, 13p

Schlagwörter: FRACTIONAL calculus, PARETO analysis, MATHEMATICS theorems, DECISION making, PARETO distribution

OPTIMALITY CONDITIONS AND DUALITY RELATIONS IN NONSMOOTH FRACTIONAL INTERVAL-VALUED MULTIOBJECTIVE OPTIMIZATION.

Autoren: NGUYEN HUY HUNG NGUYEN VAN TUYEN

Quelle: Applied Set-Valued Analysis & Optimization; 2023, Vol. 5 Issue 1, p31-47, 17p

Schlagwörter: PARETO analysis, VARIATIONAL approach (Mathematics), GENERALIZATION, DUALITY theory (Mathematics), CONVEX functions

Semi-infinite interval-valued optimization problems with robust constraints.

Autoren: Jayswal, Anurag Kumar, Ajeet

Quelle: Acta Mathematica Scientia; Jan2026, Vol. 46 Issue 1, p383-406, 24p

Optimality conditions and duality for mathematical programming with equilibrium constraints including multiple interval-valued objective functions on Hadamard manifolds.

Autoren: Tung, L. T. Singh, V.

Quelle: Japan Journal of Industrial & Applied Mathematics; May2024, Vol. 41 Issue 2, p1105-1136, 32p

Robust nonsmooth optimality conditions for multiobjective optimization problems with infinitely many uncertain constraints.

Autoren: Wang, Jie Li, Sheng-Jie Chen, Chun-Rong

Quelle: Optimization; Aug2023, Vol. 72 Issue 8, p2039-2067, 29p

Schlagwörter: NONSMOOTH optimization, LITERATURE

Optimality conditions and duality for continuous-time programming with multiple interval-valued objective functions.

Autoren: Tung, Le Thanh Tam, Dang Hoang

Quelle: Computational & Applied Mathematics; Dec2022, Vol. 41 Issue 8, p1-28, 28p

Schlagwörter: CONJUGATE gradient methods

On a Weighting Technique for Multiple Cost Optimization Problems with Interval Values.

Autoren: Treanţă, Savin Alsalami, Omar Mutab

Quelle: Mathematics (2227-7390); Aug2024, Vol. 12 Issue 15, p2321, 10p

Schlagwörter: COMPARATIVE studies, COST, INTEGRALS

FRÉCHET SUBDIFFERENTIAL CALCULUS FOR INTERVAL-VALUED FUNCTIONS AND ITS APPLICATIONS IN NONSMOOTH INTERVAL OPTIMIZATION.

Autoren: KUMAR, GOURAV JEN-CHIH YAO

Quelle: Journal of Nonlinear & Variational Analysis; 2023, Vol. 7 Issue 5, p811-837, 27p

Schlagwörter: SUBDIFFERENTIALS, SUBGRADIENT methods, NONSMOOTH optimization, MATHEMATICAL models, MATHEMATICAL analysis

Efficiency conditions in new interval-valued control models via modified $ T $-objective functional approach and saddle-point criteria.

Autoren: Treanţă, Savin Pîrje, Cristina-Florentina Yao, Jen-Chih et al.

Quelle: Mathematical Modelling & Control; 2025, Vol. 5 Issue 2, p1-13, 13p

Schlagwörter: OPTIMAL control theory, CONVEX functions, VARIATIONAL principles, FUNCTIONALS, CALCULUS of variations