Computational optimizations of nested simulations utilized for decision-making support
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915390" target="_blank" >RIV/00216275:25530/19:39915390 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Computational optimizations of nested simulations utilized for decision-making support
Original language description
Nested simulations present a general method suitable for use in realizing a multi-trajectory simulation or as a decision support in a simulator. The principle of nested simulation (as a decision support) is to find a solution to a problem using other time-limited simulations which verify alternative options. After the nested simulations have finished, the solutions of individual alternatives are assessed and the best solution is applied to the main simulation. The aim of this article is to test various exact and heuristic approaches to reduce the computational complexity of nested multi-simulations. The basic method uses the recorded states from previous simulations to avoid duplicate calculations leading to the same states. Other measures are heuristic and are based on the detection of similar states/replications during the calculation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
31st European Modeling and Simulation Symposium, EMSS 2019
ISBN
978-88-85741-26-3
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
80-89
Publisher name
Dime University of Genoa
Place of publication
Janov
Event location
Lisabon
Event date
Sep 18, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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