Multi-Objective Differential Evolution on the GPU with C-CUDA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86083948" target="_blank" >RIV/61989100:27240/12:86083948 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Multi-Objective Differential Evolution on the GPU with C-CUDA
Original language description
In some applications, evolutionary algorithms may require high computa- tional resources and high processing power, sometimes not producing a satisfactory solution after a running for a considerable amount of time. One possible improve- ment is a parallel approach to reduce the response time. This work proposes to study a parallel multi-objective algorithm, the multi-objective version of Differential Evo- lution (DE). The generation of trial individuals can be done in parallel, greatly re- ducing the overall processing time of the algorithm. A novel approach to parallelize this algorithm is the implementation on the Graphic Processing Units (GPU). These units present high degree of parallelism and they were initially developed for image rendering. However, NVIDIA has released a framework, named CUDA, which al- lows developers to use GPU for general-purpose computing (GPGPU). This work studies the implementation of Multi-Objective DE (MODE) on the GPU with C- CUDA, evaluating the gain i
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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