A combined scalarizing method for multiobjective programming problems
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Publication:299884
DOI10.1016/j.ejor.2013.11.020zbMath1338.90376OpenAlexW2050769076MaRDI QIDQ299884
Narges Rastegar, Esmaile Khorram
Publication date: 23 June 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2013.11.020
approximate solutionsmultiple objective programming\(\varepsilon\)-properly efficient solutionsproperly efficient solutionsscalarization method
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Cites Work
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- The weighted sum method for multi-objective optimization: new insights
- On approximating weakly/properly efficient solutions in multi-objective programming
- Optimality conditions for approximate solutions of vector optimization problems
- Optimality conditions for approximate solutions in multiobjective optimization problems
- Global formulation for interactive multiobjective optimization
- Scalarizations for adaptively solving multi-objective optimization problems
- Generating \(\varepsilon\)-efficient solutions in multiobjective programming
- On approximate solutions in vector optimization problems via scalarization
- Improved \(\varepsilon\)-constraint method for multiobjective programming
- Effective implementation of the \(\varepsilon \)-constraint method in multi-objective mathematical programming problems
- \(\epsilon\)-solutions in vector minimization problems
- Epsilon efficiency
- An improved definition of proper efficiency for vector maximization with respect to cones
- Multiple objective decision making - methods and applications. A state- of-the-art survey. In collaboration with Sudhakar R. Paidy and Kwangsun Yoon
- Hybrid approach for solving multiple-objective linear programs in outcome space
- On the location of antennas for treatment planning in hyperthermia
- Multiple criteria decision making combined with finance: a categorized bibliographic study.
- An MCDM approach to portfolio optimization.
- Multicriteria optimization
- Improving the computational efficiency in a global formulation (GLIDE) for interactive multiobjective optimization
- \(\varepsilon\)-properly efficient solutions to nondifferentiable multiobjective programming problems
- On characterizations of proper efficiency for nonconvex multiobjective optimization
- Optimality conditions for metrically consistent approximate solutions in vector optimization
- Proper efficiency and the theory of vector maximization
- Approximation methods in multiobjective programming
- Multiobjective optimization: survey of methods and industrial applications
- ON APPROXIMATE MINIMA IN VECTOR OPTIMIZATION
- Proper Efficient Points for Maximizations with Respect to Cones
- On Cone-Efficiency, Cone-Convexity and Cone-Compactness
- Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
- ε-approximate solutions in multiobjective optimization
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