Suchergebnisse - multiobjective programming (problem OR problemloses) with uncertain data*

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

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

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

Parametric approach for approximate efficiency of robust multiobjective fractional programming problems

Autoren: Tadeusz Antczak

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

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

Zugangs-URL: https://onlinelibrary.wiley.com/doi/full/10.1002/mma.7482

Pareto Optimal Solution of a Fuzzy Newsboy Problem.

Autoren: Sahoo, Anuradha Dash, J. K.

Quelle: Journal of Industrial Integration & Management; Dec2025, Vol. 10 Issue 4, p537-553, 17p

Robust nonsmooth optimality conditions for uncertain multiobjective programs involving stable functions.

Autoren: Van Su, Tran

Quelle: Positivity; Sep2024, Vol. 28 Issue 4, p1-29, 29p

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 relations between nonsmooth interval-valued multiobjective programming problems and generalized Stampacchia vector variational inequalities.

Autoren: Upadhyay, B. B. Stancu-Minasian, I.M. Mishra, Priyanka

Quelle: Optimization; Oct2023, Vol. 72 Issue 10, p2635-2659, 25p

Schlagwörter: MATHEMATICAL programming, VARIATIONAL principles, NONSMOOTH optimization, VARIATIONAL inequalities (Mathematics)

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/

Optimality Conditions for a Nonsmooth Uncertain Multiobjective Programming Problem.

Autoren: Han, Wenyan Yu, Guolin Gong, Tiantian

Quelle: Complexity; 7/25/2020, p1-8, 8p

Schlagwörter: CONVEX functions

Approximate optimality conditions and mixed type duality for semi-infinite multiobjective programming problems involving tangential subdifferentials.

Autoren: Liu, Juan Long, Xian-Jun Huang, Nan-Jing

Quelle: Journal of Industrial & Management Optimization; Sep2023, Vol. 19 Issue 9, p1-20, 20p

Schlagwörter: SUBDIFFERENTIALS, LITERATURE

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

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

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

A Hybrid Algorithm for Stochastic Multiobjective Programming Problem.

Autoren: Wang, Zutong Guo, Jiansheng Zheng, Mingfa et al.

Quelle: Evolutionary Multi-Criterion Optimization 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I; 2015, p218-232, 15p

Multiobjective Optimization Framework for Irrigation Scheduling under Uncertainty.

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

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

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

Geografische Kategorien: IRAN

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

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

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

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

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