Generating properly efficient points in multi-objective programs by the nonlinear weighted sum scalarization method
From MaRDI portal
Publication:5413898
DOI10.1080/02331934.2012.671819zbMath1292.90147OpenAlexW2011615178MaRDI QIDQ5413898
Masoud Zarepisheh, Esmaile Khorram, Panos M. Pardalos
Publication date: 2 May 2014
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2012.671819
compromise programmingmultiple objective programmingscalarization techniquesproperly efficientweighted p-power
Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Management decision making, including multiple objectives (90B50)
Related Items (5)
Proper efficiency, scalarization and transformation in multi-objective optimization: unified approaches ⋮ An efficient hybrid algorithm for multiobjective optimization problems with upper and lower bounds in engineering ⋮ A revised Pascoletti-Serafini scalarization method for multiobjective optimization problems ⋮ An equivalent transformation of multi-objective optimization problems ⋮ Optimality conditions via a unified direction approach for (approximate) efficiency in multiobjective optimization
Cites Work
- Convexification and concavification for a general class of global optimization problems
- Vendor selection in outsourcing
- Pareto optimality, game theory and equilibria
- Weighting factor extensions for finite multiple objective vector minimization problems
- Compromise solutions and estimation of the noninferior set
- Selecting the CP metric: A risk aversion approach
- On the monotonicity of the compromise set in multicriteria problems
- Proper efficiency in locally convex topological vector spaces
- On min-norm and min-max methods of multi-objective optimization
- Multicriterion decision making in river basin planning and development
- A comparison of multiple criteria analysis techniques for water resource management
- Handbook of multicriteria analysis
- Proper efficiency and the theory of vector maximization
- Adaptive Scalarization Methods in Multiobjective Optimization
- Some New Results on Compromise Solutions for Group Decision Problems
- Proper Efficient Points for Maximizations with Respect to Cones
- On Cone-Efficiency, Cone-Convexity and Cone-Compactness
- Super Efficiency in Vector Optimization
- Norm methods and partial weighting in multicriterion optimization of structures
- A Class of Solutions for Group Decision Problems
- A Bibliographic Survey of the Activities and International Nature of Multiple Criteria Decision Making
- Convexification of a noninferior frontier
- Convexification of a noninferior frontier
This page was built for publication: Generating properly efficient points in multi-objective programs by the nonlinear weighted sum scalarization method
