In this paper we present an accelerated stopping rule for improving the performance of the Nested Partition Hybrid Algorithm (NPHA), which is a general purpose algorithm for stochastic discrete optimization. Numerical examples will illustrate the impact of the accelerated stopping rule on the overall performance of NPHA.
|Number of pages||12|
|Journal||Discrete Event Dynamic Systems|
|Publication status||Published - 2015|