Degree-Constrained Minimum Spanning Tree Problem using Genetic Algorithm
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F12%3A86084781" target="_blank" >RIV/61989100:27740/12:86084781 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/NaBIC.2012.6402214" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2012.6402214</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2012.6402214" target="_blank" >10.1109/NaBIC.2012.6402214</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Degree-Constrained Minimum Spanning Tree Problem using Genetic Algorithm
Popis výsledku v původním jazyce
Computer network technology has been growing explosively and the multicast technology has become a hot Internet research topic. The main goal of multicast routing algorithm is seeking a minimum cost multicast tree in a given network, also known as the Steiner tree problem, which is a classical NP-Complete problem. We measure the multicast capability of each node through the degree-constraint for each node and discuss the problem of multicast in the case of degree-constraint, which has an important significance in the communication network. Limiting the capacity of each node during the replication process of information transmission can improve the speed of the network, which has an important significance in real-time service. In this paper, we solve constrained multicast routing algorithm based on genetic algorithm. The idea is to simulate the Darwinian theory of biological evolution. At the same time, we improve the generating random tree and replace the variation by the combination o
Název v anglickém jazyce
Degree-Constrained Minimum Spanning Tree Problem using Genetic Algorithm
Popis výsledku anglicky
Computer network technology has been growing explosively and the multicast technology has become a hot Internet research topic. The main goal of multicast routing algorithm is seeking a minimum cost multicast tree in a given network, also known as the Steiner tree problem, which is a classical NP-Complete problem. We measure the multicast capability of each node through the degree-constraint for each node and discuss the problem of multicast in the case of degree-constraint, which has an important significance in the communication network. Limiting the capacity of each node during the replication process of information transmission can improve the speed of the network, which has an important significance in real-time service. In this paper, we solve constrained multicast routing algorithm based on genetic algorithm. The idea is to simulate the Darwinian theory of biological evolution. At the same time, we improve the generating random tree and replace the variation by the combination o
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2012
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
Proceedings of the 2012 4th World Congress on Nature and Biologically Inspired Computing, NaBIC 2012
ISBN
978-1-4673-4768-6
ISSN
—
e-ISSN
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Počet stran výsledku
7
Strana od-do
8-14
Název nakladatele
IEEE
Místo vydání
New York
Místo konání akce
Mexico City
Datum konání akce
5. 11. 2012
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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