Application example of neural networks for time series analysis: rainfall-runoff modeling
Signal Processing - Special issue on neural networks
Visualization and data mining of Pareto solutions using self-organizing map
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Information Sciences: an International Journal
Visualizing the Pareto Frontier
Multiobjective Optimization
Multiobjective Optimization Software
Multiobjective Optimization
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
Visualizing 4D approximation sets of multiobjective optimizers with prosections
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Visualising many-objective populations
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
A comparison of representations for discrete multi-criteria decision problems
Decision Support Systems
Visualization and exploration of optimal variants in product line engineering
Proceedings of the 17th International Software Product Line Conference
Hi-index | 0.00 |
Understanding the results of a multi objective optimization process can be hard. Various visualization methods have been proposed previously, but the only consistently popular one is the 2D or 3D objective scatterplot, which cannot be extended to handle more than 3 objectives. Additionally, the visualization of high dimensional parameter spaces has traditionally been neglected. We propose a new method, based on heatmaps, for the simultaneous visualization of objective and parameter spaces. We demonstrate its application on a simple 3D test function and also apply heatmaps to the analysis of real-world optimization problems. Finally we use the technique to compare the performance of two different multi-objective algorithms.