Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm

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Malek, Martin
Somplak, Radovan
Popela, Pavel
Kudela, Jakub

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Mark

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Institute of Automation and Computer Science, Brno University of Technology

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Abstract

In this paper we describe a real-world large-scale stochastic integer waste-management decision making problem. The problem consists of choosing the optimal locations and capacities of new incineration plants, that will be used for the disposal of waste. To solve this problem, we implement a modied version of the progressive hedging algorithm. The presented case study with real-world data concerns the situation in the Czech Republic.

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Mendel. 2018 vol. 24, č. 2, s. 17–22. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/2

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Peer-reviewed

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en

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