Interactive tool for analyzing multiobjective optimization results with level diagrams
Author:
Affiliation:
1. Universitat Politècnica de València., Valencia, Spain
2. Pontifical Catholic University of Parana (PUCPR)., Curitiba, Brasil
Funder
Ministerio de Economía y Competitividad
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3067695.3082553
Reference11 articles.
1. A new graphical visualization of n-dimensional Pareto front for decision-making in multiobjective optimization
2. Xavier Blasco Gilberto Reynoso-Meza Enrique A. Sánchez Pérez and Juan V. Sánchez Pérez. 2016. Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis. Information Sciences 340--341 (may 2016) 228--249. 10.1016/j.ins.2015.12.039 Xavier Blasco Gilberto Reynoso-Meza Enrique A. Sánchez Pérez and Juan V. Sánchez Pérez. 2016. Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis. Information Sciences 340--341 (may 2016) 228--249. 10.1016/j.ins.2015.12.039
3. Carlos A. Coello David A. Van Veldhuizen and Gary B. Lamont. 2007. Evolutionary Algorithms for Solving Multi-Objective Problems. Springer-Verlag GmbH. Carlos A. Coello David A. Van Veldhuizen and Gary B. Lamont. 2007. Evolutionary Algorithms for Solving Multi-Objective Problems . Springer-Verlag GmbH.
4. Aggregation Trees for visualization and dimension reduction in many-objective optimization
5. 3D-RadVis: Visualization of Pareto front in many-objective optimization
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