Suchergebnisse - multiobjective programming (((problem OR problemy) OR problems) OR problemsby) with uncertain data*

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

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

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

Quelle: Algorithms. Nov2024, Vol. 17 Issue 11, p482. 30p.

Schlagwörter: *ROBUST optimization, *CONSTRAINED optimization

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

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

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

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

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)

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

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

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

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/

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

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

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

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

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

An interactive fuzzy satisficing method based on the fractile optimization model using possibility and necessity measures for a fuzzy random multiobjective linear programming problem.

Autoren: Katagiri, Hideki Sakawa, Masatoshi Kato, Kosuke et al.

Quelle: Electronics & Communications in Japan, Part 3: Fundamental Electronic Science; May2005, Vol. 88 Issue 5, p20-28, 9p

Schlagwörter: LINEAR programming, DYNAMIC programming, VECTOR analysis, CLUSTER analysis (Statistics), MATHEMATICAL statistics, RANDOM variables, FUZZY logic

A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio.

Autoren: Sadri, Mehran Sadeghi, Alireza Madanchi Zaj, Mahdi et al.

Quelle: Discrete Dynamics in Nature & Society. 9/14/2022, p1-8. 8p.

Schlagwörter: *MATHEMATICAL models, *ROBUST optimization, *STOCK exchanges, *PORTFOLIO management (Investments), *GOAL programming

Geografische Kategorien: TEHRAN (Iran)