Visualisation methods for evolutionary computation and multi-objective optimisation
Project description
ECVis
This library contains a range of methods for visualising the operation of evolutionary algorithms and the solutions they produce, including many-objective solution sets. Some of the methods are based on the following papers:
- Walker, David J., Everson, Richard M., and Fieldsend, Jonathan E. "Visualizing mutually nondominating solution sets in many-objective optimization." IEEE Transactions on Evolutionary Computation 17, no. 2 (2012): 165-184.
The code is maintained by David Walker at the University of Exeter. If you make use of the code, please cite the relevant paper.
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