Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU131435" target="_blank" >RIV/00216305:26210/18:PU131435 - isvavai.cz</a>
Result on the web
<a href="https://mendel-journal.org" target="_blank" >https://mendel-journal.org</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/mendel.2018.2.017" target="_blank" >10.13164/mendel.2018.2.017</a>
Alternative languages
Result language
angličtina
Original language name
Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel Journal series
ISSN
1803-3814
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
17-22
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85071475314