Robustness is a key characteristic of genetic programming candidate solutions, providing the ability to maintain a satisfactory level of performance under dynamic and uncertain environments. In this paper we perform experiments on Tartarus problem instances exploring the hypothesis that the introduction of a fitness distribution bias, inspired by the Dunning-Kruger effect , will lead to an increase in the diversity and robustness of candidate solutions.
|Title of host publication||GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion|
|Number of pages||2|
|Publication status||Published - 13 Jul 2019|
|Event||the Genetic and Evolutionary Computation Conference Companion - Prague, Czech Republic|
Duration: 13 Jul 2019 → 17 Jul 2019
|Conference||the Genetic and Evolutionary Computation Conference Companion|
|Period||13/07/19 → 17/07/19|
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- Tartarus Problem