Inertia weight strategies in particle swarm optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86097044" target="_blank" >RIV/61989100:27240/11:86097044 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6089659" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6089659</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2011.6089641" target="_blank" >10.1109/NaBIC.2011.6089641</a>
Alternative languages
Result language
angličtina
Original language name
Inertia weight strategies in particle swarm optimization
Original language description
The recent time has seen the rise of consumer grade massively parallel environments. Powerful GPUs and multi-core processors became widely available and easy to use programming APIs such as nVidia CUDA, OpenCL, and DirectCompute simplify the developmentof applications that can utilize them. In this environment, the nature inspired meta-heuristics can be in suitable cases implemented in parallel without additional costs. Backed by the power of modern GPGPUs, the meta-heuristics can be deployed to solvepractical real world problems. In this paper, we compare differential evolution and genetic algorithms implemented on CUDA when solving the independent tasks scheduling problem. (C) 2011 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2011 Third World Congress on Nature and Biologically Inspired Computing
ISBN
978-1-4577-1123-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
509-514
Publisher name
IEEE
Place of publication
New York
Event location
Salamanca
Event date
Oct 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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