Algorithm selection is a well-known problem where researchers investigat...
Urban traffic attributed to commercial and industrial transportation is
...
Multi-objective evolutionary algorithms (MOEAs) are widely used to solve...
It is increasingly common to solve combinatorial optimisation problems t...
This paper reports on the first international competition on AI for the
...
Surrogate algorithms such as Bayesian optimisation are especially design...
One method to solve expensive black-box optimization problems is to use ...
A challenging problem in both engineering and computer science is that o...
When a black-box optimization objective can only be evaluated with costl...
This paper analyzes DONE, an online optimization algorithm that iterativ...
This paper discusses various techniques to let an agent learn how to pre...
This paper proposes a specific type of Local Linear Model, the Shuffled
...