QDSOMA: Towards the Utilization of Quantum Computing within SOMA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242617" target="_blank" >RIV/61989100:27240/19:10242617 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8789885" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8789885</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2019.8789885" target="_blank" >10.1109/CEC.2019.8789885</a>
Alternative languages
Result language
angličtina
Original language name
QDSOMA: Towards the Utilization of Quantum Computing within SOMA
Original language description
Nowadays, a new type of algorithms inspired by the quantum theory has arisen and brought to light new views of solving standard computational problems like searching, optimizing, scheduling etc. Some of the principles of quantum mechanics can be used even if a quantum computer is not available. The focus of this article is on the utilization of a quantum approach in a selected algorithm called DSOMA. A quantum computing based algorithm is described and all suggested improvements are demonstrated on the flowshop optimization problem. The novelty of the proposed algorithm consists in the use of quantum data. Individuals in other algorithms are usually encoded into a quantum state, whereas the individuals in our extension are just enriched by quantum information, and this data is used to improve behavior of the algorithm. Based on the outcomes of experiments carried out within our research the improved algorithm has achieved better results. (C) 2019 IEEE.
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
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
ISBN
978-1-72812-153-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2900-2907
Publisher name
IEEE
Place of publication
Piscataway
Event location
Wellington
Event date
Jun 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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