Decomposition of the parametric space in multiobjective convex programs using the generalized Tchebycheff norm
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Publication:1075948
DOI10.1016/0022-247X(85)90361-0zbMath0592.90083OpenAlexW2016825491MaRDI QIDQ1075948
Mohamed Sayed Ali Osman, Jerald P. Dauer
Publication date: 1985
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0022-247x(85)90361-0
Related Items (13)
Multiple objective (fuzzy) dynamic programming problems: a survey and some applications ⋮ Duality in the fuzzy-parametric space for fuzzy-parametric nonlinear programming problem ⋮ Unnamed Item ⋮ Sensitivity analysis in multiobjective differential programming ⋮ Pareto optimality for bi-level programming problem with fuzzy parameters. ⋮ A bi-level non-linear multi-objective decision making under fuzziness. ⋮ Sensitivity analysis in differential programming through the Clarke derivative ⋮ Extensions of TOPSIS for multi-objective large-scale nonlinear programming problems ⋮ Sensitivity analysis in convex programming ⋮ An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach ⋮ Decomposition of the fuzzy parametric space in multiobjective nonlinear programming problems ⋮ Sensitivity analysis in convex optimization through the circatangent derivative ⋮ Decomposition of multiobjective programming problems by hybrid fuzzy- dynamic programming
Cites Work
- Multiple objective decision making - methods and applications. A state- of-the-art survey. In collaboration with Sudhakar R. Paidy and Kwangsun Yoon
- Duality and stability in extremum problems involving convex functions
- Proper efficiency and the theory of vector maximization
- Equivalence in nonlinear programming
- Unnamed Item
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