A classification of the weighting schemes in reference point procedures for multiobjective programming
From MaRDI portal
Publication:3636713
DOI10.1057/palgrave.jors.2602577zbMath1163.90739OpenAlexW2053550769MaRDI QIDQ3636713
No author found.
Publication date: 29 June 2009
Published in: Journal of the Operational Research Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1057/palgrave.jors.2602577
Related Items (15)
Synthetic indicators of mutual funds' environmental responsibility: an application of the reference point method ⋮ Ordered weighted enhancement of preference modeling in the reference point method for multiple criteria optimization ⋮ A synchronous reference point-based interactive method for stochastic multiobjective programming ⋮ Reference point method with importance weighted ordered partial achievements ⋮ WOWA Enhancement of the Preference Modeling in the Reference Point Method ⋮ A two-slope achievement scalarizing function for interactive multiobjective optimization ⋮ NAUTILUS method: an interactive technique in multiobjective optimization based on the Nadir point ⋮ A parallel multiple reference point approach for multi-objective optimization ⋮ INTEREST: A reference-point-based interactive procedure for stochastic multiobjective programming problems ⋮ Bi-objective short-term scheduling in a rolling horizon framework: a priori approaches with alternative operational objectives ⋮ The Need for and Possible Methods of Objective Ranking ⋮ Incorporating preferential weights as a benchmark into a sequential reference point method ⋮ An application of multiobjective programming to the study of workers' satisfaction in the Spanish labour market ⋮ A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm ⋮ On the use of the \(L_{p}\) distance in reference point-based approaches for multiobjective optimization
This page was built for publication: A classification of the weighting schemes in reference point procedures for multiobjective programming