Automated parameter choice with exploratory landscape analysis and machine learning
Maxim Pikalov, Vladimir Mironovich · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2021
The performance of an evolutionary algorithm on a particular optimization problem highly depends on the choice of the algorithm's parameters. Fitness landscape analysis can help learn important characteristics of the optimization problem that may influence the optimal parameter values. Using this knowledge for parameter choice can be an important step in designing fitness-aware algorithms.