Výsledky vyhledávání - multiobjective programming ((problem OR problemloses) OR problems) with uncertain data*

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

Autoři: Balendu Bhooshan Upadhyay Shubham Kumar Singh I. M. Stancu-Minasian a další

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

Témata: 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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/6caee0a038314de4a140998f5c9ebda4

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

Autoři: Nguyen Thi Thu Thuy Tran Van Su

Zdroj: Optimization. 72:1745-1775

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

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

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

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

Témata: *SUBDIFFERENTIALS, *FRACTIONAL programming, *ARGUMENT

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

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

Autoři: Zheng, Mingfa Zhong, Haitao Zheng, Aoyu a další

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

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

A Fuzzy programming approach for interval multiobjective solid transportation problem.

Autoři: Dalman, Hasan¹ hsandalman@gmail.com

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

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

Parametric approach for approximate efficiency of robust multiobjective fractional programming problems

Autoři: Tadeusz Antczak

Zdroj: Mathematical Methods in the Applied Sciences. 44:11211-11230

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

Přístupová URL adresa: https://onlinelibrary.wiley.com/doi/full/10.1002/mma.7482

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

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

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

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

Solving geometric programming problems with triangular and trapezoidal uncertainty distributions.

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

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

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

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

Autoři: Totan Garai Harish Garg

Zdroj: CAAI Transactions on Intelligence Technology (2019)

Témata: 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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/780c0b9764af4a23ad32558aaecd150f

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

Autoři: Kumari, Shaveta Srivastava, Saurabh

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

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

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

Autoři: Omar M. Saad Tawfik R. Mohamed Mervat K. Alshafae a další

Přispěvatelé: Omar M. Saad Tawfik R. Mohamed Mervat K. Alshafae a další

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

Témata: 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/

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

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^,.

Autoři: Tedeschi, Luis O¹

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

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

On solving the multilevel rough interval linear programming problem.

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

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

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

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

Autoři: Jiao, Liguo Lee, Jae Hyoung

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

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

ROBUST DUALITY FOR GENERALIZED INVEX PROGRAMMING PROBLEMS

Autoři: Moon Hee Kim

Zdroj: Communications of the Korean Mathematical Society. 28:419-423

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

Přístupová URL adresa: https://koreascience.or.kr/article/JAKO201316349187607.page

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

Autoři: Chuong, T. D. Mak-Hau, V. H. Yearwood, J. a další

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

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

Multiobjective Optimization Framework for Irrigation Scheduling under Uncertainty.

Autoři: Kashkaki, Zahra Monem, Mohammad Javad Nikbakhsh, Ehsan

Zdroj: Journal of Irrigation & Drainage Engineering. Oct2025, Vol. 151 Issue 5, p1-11. 11p.

Témata: *IRRIGATION scheduling, *MULTI-objective optimization, *ROBUST optimization, *SUSTAINABLE agriculture, *WATER shortages, *MEASUREMENT uncertainty (Statistics), *STOCHASTIC models

Geografický termín: IRAN

Optimality Conditions and Duality for Robust Nonsmooth Multiobjective Optimization Problems with Constraints.

Autoři: Chen, Jiawei Köbis, Elisabeth Yao, Jen-Chih

Zdroj: Journal of Optimization Theory & Applications. May2019, Vol. 181 Issue 2, p411-436. 26p.

Témata: *ROBUST optimization, *NONSMOOTH optimization, *FRACTIONAL programming, *CONVEX functions

Fuzzy Linear Programming with Interactive Uncertain Parameters.

Autoři: Masahiro Inuiguchi Tetsuzo Tanino

Zdroj: Reliable Computing; Sep2004, Vol. 10 Issue 5, p357-367, 11p