Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 431547
Title A Neuroevolutionary Approach to Stochastic Inventory Control in Multi-Echelon Systems
Author(s) Prestwich, S.; Tarim, S.A.; Rossi, R.; Hnich, B.
Source International Journal of Production Research 50 (2012)8. - ISSN 0020-7543 - p. 2150 - 2160.
DOI https://doi.org/10.1080/00207543.2011.574503
Department(s) WASS
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) noisy genetic algorithm - supply chains - environments - optimization - uncertainty - management - design - model
Abstract Stochastic inventory control in multi-echelon systems poses hard problems in optimisation under uncertainty. Stochastic programming can solve small instances optimally, and approximately solve larger instances via scenario reduction techniques, but it cannot handle arbitrary nonlinear constraints or other non-standard features. Simulation optimisation is an alternative approach that has recently been applied to such problems, using policies that require only a few decision variables to be determined. However, to find optimal or near-optimal solutions we must consider exponentially large scenario trees with a corresponding number of decision variables. We propose instead a neuroevolutionary approach: using an artificial neural network to compactly represent the scenario tree, and training the network by a simulation-based evolutionary algorithm. We show experimentally that this method can quickly find high-quality plans using networks of a very simple form.
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