Approximating the Pareto optimal set using a reduced set of objective functions
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Publication:613484
DOI10.1016/j.ejor.2010.07.004zbMath1205.90263OpenAlexW2016203627MaRDI QIDQ613484
Peter Lindroth, Ann-Brith Strömberg, Michael Patriksson
Publication date: 20 December 2010
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2010.07.004
Pareto optimalitymultiple objective programmingmany-objective optimizationengineering optimizationobjective space reduction
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Cites Work
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- Evolutionary multi-criterion optimization. 4th international conference, EMO 2007, Matsushima, Japan, March 5--8, 2007. Proceedings
- \(\epsilon\)-solutions in vector minimization problems
- Redundant objective functions in linear vector maximum problems and their determination
- On redundancy in multi criteria decision making
- On the number of criteria needed to decide Pareto optimality
- Consequences of dropping nonessential objectives for the application of MCDM methods
- Multiple criteria decision making: The case for interdependence
- Using metaheuristics in multiobjective resource constrained project scheduling
- On Efficient Solutions to Multiple Objective Mathematical Programs
- On Finding the Maxima of a Set of Vectors
- Pareto simulated annealing—a metaheuristic technique for multiple‐objective combinatorial optimization
- Norm methods and partial weighting in multicriterion optimization of structures
- Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem
- Nonlinear Programming
- Evolutionary Multi-Criterion Optimization
