Suchergebnisse - multiobjective programming ((problem OR problems.as) OR problemloses) 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: 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

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 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

Fuzzy Neural Network for Fuzzy Quadratic Programming With Penalty Function and Mean‐Variance Markowitz Portfolio Model.

Autoren: Khan, Izaz Ullah Aamir, Muhammad Ullah, Mehran et al.

Quelle: Applied Computational Intelligence & Soft Computing; 10/17/2024, Vol. 2024, p1-22, 22p

Schlagwörter: INVESTORS, STOCKS (Finance), QUADRATIC 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

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

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/

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, *LINEAR programming, *INTEGER programming, DATA envelopment analysis, UNCERTAINTY, UNCERTAIN systems, FUZZY sets

Characterizing a Class of Robust Vector Polynomial Optimization via Sum of Squares Conditions.

Autoren: Sun, Xiangkai Tan, Wen Teo, Kok Lay

Quelle: Journal of Optimization Theory & Applications; May2023, Vol. 197 Issue 2, p737-764, 28p

Schlagwörter: SUM of squares, LINEAR matrix inequalities, ROBUST optimization, POLYNOMIALS, LINEAR programming, SEMIDEFINITE programming

Solving Multi Objective Linear Fractional Programming Problem Under Uncertainty via Robust Optimization Approach.

Autoren: Ganji, Moslem Saraj, Mansour

Quelle: Journal of Informatics & Mathematical Sciences; 2019, Vol. 11 Issue 2, p115-125, 11p

Schlagwörter: FRACTIONAL programming, LINEAR programming, ROBUST optimization, UNCERTAINTY, EXERCISE

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

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 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

Optimal decision of multiobjective and multiperiod anticipatory shipping under uncertain demand: A data-driven framework.

Autoren: chen, Cheng Xu, Xianhao Zou, Bipan et al.

Quelle: Computers & Industrial Engineering. Sep2021, Vol. 159, pN.PAG-N.PAG. 1p.

Schlagwörter: *SALES forecasting, *INVENTORY costs, *INTEGER programming, *WAREHOUSES, *INTERNET stores, MACHINE learning

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

ROBUST SOLUTIONS OF MULTIOBJECTIVE LINEAR SEMI-INFINITE PROGRAMS UNDER CONSTRAINT DATA UNCERTAINTY.

Autoren: GOBERNA, M. A. JEYAKUMAR, V. LI, G. et al.

Quelle: SIAM Journal on Optimization. 2014, Vol. 24 Issue 3, p1402-1419. 18p.

Schlagwörter: *MATHEMATICAL optimization, *LINEAR programming, *MATHEMATICAL analysis, DUALITY theory (Mathematics), AFFINE algebraic groups

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