For noisy optimization problems, there is generally a trade-off between the effort spent to reduce the noise (in order to allow the optimization algorithm to run properly), and t...
For a given problem, the optimal Markov policy over a finite horizon is a conditional plan containing a potentially large number of branches. However, there are applications wher...
Digital Down Conversion (DDC) is an algorithm, used to lower the amount of samples per second by selecting a limited frequency band out of a stream of samples. A possible DDC algo...
Tjerk Bijlsma, Pascal T. Wolkotte, Gerard J. M. Sm...
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
We study the combinatorial properties of optimal refueling policies, which specify the transportation paths and the refueling operations along the paths to minimize the total trans...