Mining Potentially Explanatory Patterns via Partial Solutions

arXiv:2404.04388v1 Announce Type: cross
Abstract: Genetic Algorithms have established their capability for solving many complex optimization problems. Even as good solutions are produced, the user's understanding of a problem is not necessarily improved, which can lead to a lack of confidence in the results. To mitigate this issue, explainability aims to give insight to the user by presenting them with the knowledge obtained by the algorithm. In this paper we introduce Partial Solutions in order to improve the explainability of …

abstract algorithms arxiv capability confidence cs.lg cs.ne explainability good insight issue mining optimization patterns results solutions type understanding via