The elements of graphing data
On the approximation of a Pareto set
USSR Computational Mathematics and Mathematical Physics
Approximation of a set of pareto-optimal solutions
USSR Computational Mathematics and Mathematical Physics
An aspiration-level interactive model for multiple criteria decision making
Computers and Operations Research - Special issue: implementing multiobjective optimization methods: behavioral and computational issues
GRADS: a new graphical display system for visualizing multiple criteria solutions
Computers and Operations Research - Special issue: implementing multiobjective optimization methods: behavioral and computational issues
The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
The logical convolution of the criterion vector in the problem of approximating a Pareto set
Computational Mathematics and Mathematical Physics
Tradeoff directions in multiobjective optimization problems
Mathematical Programming: Series A and B
Multidimensional scaling for group memory visualization
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
Introducing oblique norms into multiple criteria programming
Journal of Global Optimization
Performance evaluation of acceptance probability functions for multi-objective SA
Computers and Operations Research
knowCube: a visual and interactive support for multicriteria decision making
Computers and Operations Research
Heatmap visualization of population based multi objective algorithms
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
A multiobjective approach to fleet, fuel and operating cost efficiency of European airlines
Computers and Industrial Engineering
Comparison of design concepts in multi-criteria decision-making using level diagrams
Information Sciences: an International Journal
A comparison of representations for discrete multi-criteria decision problems
Decision Support Systems
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We describe techniques for visualizing the Pareto optimal set that can be used if the multiobjective optimization problem considered has more than two objective functions. The techniques discussed can be applied in the framework of both MCDM and EMO approaches. First, lessons learned from methods developed for biobjective problems are considered. Then, visualization techniques for convex multiobjective optimization problems based on a polyhedral approximation of the Pareto optimal set are discussed. Finally, some visualization techniques are considered that use a pointwise approximation of the Pareto optimal set.