|
|
|
|
|
Dongyi Wang, Guoli Wang and Hang Wang
Among so many autonomous driving technologies, autonomous lane changing is an important application scenario, which has been gaining increasing amounts of attention from both industry and academic communities because it can effectively reduce traffic con...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mario Andrés Muñoz and Michael Kirley
In this paper, we investigate how systemic errors due to random sampling impact on automated algorithm selection for bound-constrained, single-objective, continuous black-box optimization. We construct a machine learning-based algorithm selector, which u...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ryan Dieter Lang and Andries Petrus Engelbrecht
The choice of which objective functions, or benchmark problems, should be used to test an optimization algorithm is a crucial part of the algorithm selection framework. Benchmark suites that are often used in the literature have been shown to exhibit poo...
ver más
|
|
|
|
|
|