Výsledky vyhledávání - multiobjective programming ((problem OR problemsby) OR problems) with uncertain data~

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

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 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

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

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

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/

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

Approaches for biobjective integer linear robust optimization.

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

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

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

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)

Closing the loop of a global supply chain through a robust optimal decentralized decision support system.

Autoři: Golpîra H; Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran. HerishGolpira@gmail.com.

Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Aug; Vol. 30 (39), pp. 89975-90005. Date of Electronic Publication: 2022 Oct 22.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE

Výrazy ze slovníku MeSH: Programming, Linear*, Uncertainty

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

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

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

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

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

Fuzzy Linear Programming with Interactive Uncertain Parameters.

Autoři: Masahiro Inuiguchi Tetsuzo Tanino

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

Convexificators for nonconvex multiobjective optimization problems with uncertain data: robust optimality and duality.

Autoři: Chen, J. W. Yang, R. Köbis, E. a další

Zdroj: Optimization; Sep2025, Vol. 74 Issue 11, p2611-2633, 23p

Témata: MULTI-objective optimization, ROBUST optimization, DUALITY theory (Mathematics), MATHEMATICAL optimization

Characterizations of robust ε-quasi optimal solutions for nonsmooth optimization problems with uncertain data.

Autoři: Sun, Xiang-Kai Teo, Kok Lay Long, Xian-Jun

Zdroj: Optimization; Apr2021, Vol. 70 Issue 4, p847-870, 24p

Témata: NONSMOOTH optimization, ROBUST optimization

Sensitivity to uncertainty and scalarization in robust multiobjective optimization: an overview with application to mean-variance portfolio optimization.

Autoři: Rocca, Matteo

Zdroj: Annals of Operations Research; Mar2025, Vol. 346 Issue 2, p1671-1686, 16p

Témata: MULTI-objective optimization, ROBUST optimization