An accelerated stopping rule for the Nested Partition Hybrid Algorithm for discrete stochastic optimization

J. Berkhout

doi:10.1007/s10626-014-0191-9

An accelerated stopping rule for the Nested Partition Hybrid Algorithm for discrete stochastic optimization

J. Berkhout

Amsterdam Business Research Institute

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	441-452
Number of pages	12
Journal	Discrete Event Dynamic Systems
Volume	25
Issue number	3
DOIs	https://doi.org/10.1007/s10626-014-0191-9
Publication status	Published - 2015

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Volume 25, Issue 3, pp 441-452

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SDG 7 Affordable and Clean Energy

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10.1007/s10626-014-0191-9

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JO - Discrete Event Dynamic Systems

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An accelerated stopping rule for the Nested Partition Hybrid Algorithm for discrete stochastic optimization

Abstract

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UN SDGs

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