Suchergebnisse - multiobjective programming (((problem OR problemss) OR problems) OR problems) with uncertain data~

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

Autoren: Nguyen Thi Thu Thuy Tran Van Su

Quelle: Optimization. 72:1745-1775

Schlagwörter: 0211 other engineering and technologies, 02 engineering and technology

Robust Optimality and Duality for Nonsmooth Multiobjective Programming Problems with Vanishing Constraints Under Data Uncertainty

Autoren: Balendu Bhooshan Upadhyay Shubham Kumar Singh I. M. Stancu-Minasian et al.

Quelle: Algorithms, Vol 17, Iss 11, p 482 (2024)

Schlagwörter: multiobjective optimization, robust optimization, vanishing constraints, Pareto efficiency conditions, duality, convexificators, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1999-4893/17/11/482; https://doaj.org/toc/1999-4893

Zugangs-URL: https://doaj.org/article/6caee0a038314de4a140998f5c9ebda4

Robust optimality conditions for multiobjective programming problems under data uncertainty and its applications.

Autoren: Nguyen, Thuy Thi Thu Su, Tran Van Linh, Dang Hong

Quelle: Optimization. Mar2024, Vol. 73 Issue 3, p641-672. 32p.

Schlagwörter: *SUBDIFFERENTIALS, *FRACTIONAL programming, *ARGUMENT

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

Autoren: Thu Thuy, Nguyen Thi Van Su, Tran

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

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

A fuzzy solution approach to multi-objective fully triangular fuzzy optimization problem.

Autoren: Swain, N. Maharana, S. Nayak, S.

Quelle: Iranian Journal of Numerical Analysis & Optimization; 2024, Vol. 14 Issue 4, p1106-1139, 34p

Schlagwörter: MULTI-objective optimization, FUZZY logic, LINEAR programming, INTERVAL analysis, PARAMETER estimation, PROBLEM solving, DECISION making

حل مسئله برنامه ریزی کسری خطی در محیط عدم قطعیت با پارامترهای خاکستری. (Persian)

Alternate Title: Solving linear fractional programming problem in uncertainty environment with grey parameters. (English)

Autoren: فرید پورافقی

Quelle: Mathematical Researches; 2025, Vol. 11 Issue 2, p1-23, 23p

Solving geometric programming problems with triangular and trapezoidal uncertainty distributions.

Autoren: Mondal, Tapas Ojha, Akshay Kumar Pani, Sabyasachi

Quelle: RAIRO: Operations Research (2804-7303); 2022, Vol. 56 Issue 4, p2833-2851, 19p

Schlagwörter: GEOMETRIC programming, GEOMETRIC approach, MATHEMATICAL optimization, NONLINEAR programming, GEOMETRIC modeling, NONLINEAR equations

ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics^,.

Autoren: Tedeschi, Luis O¹

Quelle: Journal of Animal Science. May2019, Vol. 97 Issue 5, p1921-1944. 24p.

Schlagworte: Artificial intelligence, Computer programming, Deep learning, Machine learning, Mathematical models, Simulation methods & models

A stochastic technique to solve interval non-linear programming problems using GH-difference.

Autoren: Kumari, Shaveta Srivastava, Saurabh

Quelle: Engineering Computations; 2024, Vol. 41 Issue 5, p1353-1368, 16p

Schlagwörter: NONLINEAR equations, STOCHASTIC programming, NONLINEAR programming, REAL numbers, RANDOM variables, INTERVAL analysis, SCIENTIFIC models, ENGINEERING models

Multi-objective linear fractional inventory model with possibility and necessity constraints under generalised intuitionistic fuzzy set environment

Autoren: Totan Garai Harish Garg

Quelle: CAAI Transactions on Intelligence Technology (2019)

Schlagwörter: decision making, sensitivity analysis, linear programming, fuzzy set theory, number theory, possibility theory, inventory management, multiobjective linear fractional inventory model, necessity constraints, generalised intuitionistic fuzzy set environment, multiobjective linear fractional inventory problem, generalised trapezoidal intuitionistic fuzzy numbers, equivalent deterministic linear fractional programming problem, Computational linguistics. Natural language processing, P98-98.5, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0030; https://doaj.org/toc/2468-2322

Zugangs-URL: https://doaj.org/article/780c0b9764af4a23ad32558aaecd150f

ON THE SOLUTION OF MULTIPLE OBJECTIVE INTEGER LINEAR FRACTIONAL PROGRAMMING PROBLEMS WITH UNCERTAIN DATA

Autoren: Omar M. Saad Tawfik R. Mohamed Mervat K. Alshafae et al.

Weitere Verfasser: Omar M. Saad Tawfik R. Mohamed Mervat K. Alshafae et al.

Quelle: http://www.ijma.info/index.php/ijma/article/download/1521/873/.

Schlagwörter: Multi-objective Programming, Fractional Programming, Stochastic Programming, Integer Programming

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.1171; http://www.ijma.info/index.php/ijma/article/download/1521/873/

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.1171
http://www.ijma.info/index.php/ijma/article/download/1521/873/

Finding efficient solutions in robust multiple objective optimization with SOS-convex polynomial data.

Autoren: Jiao, Liguo Lee, Jae Hyoung

Quelle: Annals of Operations Research. Jan2021, Vol. 296 Issue 1/2, p803-820. 18p.

Schlagwörter: *MATHEMATICAL programming, *ROBUST optimization, *POLYNOMIALS, *SEMIDEFINITE programming

Research on Comparision between Deterministic Method and Uncertain Method for Solving Uncertain Multiobjective Programming.

Autoren: Zheng, Mingfa Zhong, Haitao Zheng, Aoyu et al.

Quelle: Symmetry (20738994). Mar2022, Vol. 14 Issue 3, p470-470. 27p.

Schlagwörter: *INFORMATION asymmetry, *PROBLEM solving, *DATA analysis

Parametric approach for approximate efficiency of robust multiobjective fractional programming problems.

Quelle: Mathematical Methods in the Applied Sciences. 9/30/2021, Vol. 44 Issue 14, p11211-11230. 20p.

Schlagwörter: *FRACTIONAL programming, *ROBUST optimization, *UNCERTAINTY

A Fuzzy programming approach for interval multiobjective solid transportation problem.

Autoren: Dalman, Hasan¹ hsandalman@gmail.com

Quelle: New Trends in Mathematical Sciences. 2016, Vol. 4 Issue 4, p114-127. 14p.

Schlagwörter: *FUZZY sets, *FUZZY algorithms, *LINEAR programming

On solving the multilevel rough interval linear programming problem.

Autoren: Fathy, E. Ammar, E. Helmy, M.A.

Quelle: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 42 Issue 4, p3011-3028, 18p

Schlagwörter: LINEAR programming, BILEVEL programming, MEMBERSHIP functions (Fuzzy logic)

Approaches for biobjective integer linear robust optimization.

Autoren: Chlumsky-Harttmann, Fabian Schmidt, Marie Schöbel, Anita

Quelle: European Journal of Operational Research. Feb2026, Vol. 329 Issue 1, p198-218. 21p.

Schlagwörter: ROBUST optimization, MULTI-objective optimization, MIXED integer linear programming

Robustness in Nonsmooth Nonconvex Optimization Problems.

Autoren: Mashkoorzadeh, F. Movahedian, N. Nobakhtian, S.

Quelle: Positivity. Apr2021, Vol. 25 Issue 2, p701-729. 29p.

Schlagwörter: NONSMOOTH optimization, ROBUST optimization

Integrated Network Design of Agile Resource-Efficient Supply Chains Under Uncertainty.

Autoren: Dotoli, Mariagrazia Epicoco, Nicola

Quelle: IEEE Transactions on Systems, Man & Cybernetics. Systems. Nov2020, Vol. 50 Issue 11, p4530-4544. 15p.

Schlagwörter: *SUPPLY chains, *DATA envelopment analysis, *LINEAR programming, *UNCERTAINTY, *INTEGER programming, *UNCERTAIN systems, *FUZZY sets

Robust Pareto solutions for convex quadratic multiobjective optimization problems under data uncertainty.

Autoren: Chuong, T. D. Mak-Hau, V. H. Yearwood, J. et al.

Quelle: Annals of Operations Research. Dec2022, Vol. 319 Issue 2, p1533-1564. 32p.

Schlagwörter: *LINEAR matrix inequalities, *SEMIDEFINITE programming, *ROBUST optimization