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Multi-Objective Optimization of an Adaptive Numerical Integrator Using Optuna ⭐

Daniel Augusto de Sousa Mendes R. P. Bianchin Ângelo de Carvalho Paulino Angelo Pássaro Otimização Multiobjetiva Integração Temporal Adaptativa ∙ Métodos de Runge–Kutta Simulação Numérica
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TL;DR

In this work, Optuna was employed as a multi-objective optimization framework to search for parameters of an adaptive fourth-and fifth-order Runge–Kutta time integrator in three selected test cases and a Pareto front analysis methodology based on simple geometric metrics was developed using an expert-system-like approach.

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