QDSOMA: Towards the Utilization of Quantum Computing within SOMA
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
QDSOMA: Towards the Utilization of Quantum Computing within SOMA
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
QDSOMA: Towards the Utilization of Quantum Computing within SOMA
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
ISBN
978-1-72812-153-6
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
2900-2907
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Wellington
Datum konání akce
10. 6. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—