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  • This article deals with modification of SOMA algorithm in order to work in distributed environment. Purpose of this modification is to improve effectiveness of its operation. The Framework chosen for development of distributed application is MapReduce namely its implementation called Hadoop. The main benefit of proposed solution lays in speedup of optimization of fitness functions whose evaluation is demanding on computing power. This theoretical benefit was tested with standard test function on distributed architecture.
  • This article deals with modification of SOMA algorithm in order to work in distributed environment. Purpose of this modification is to improve effectiveness of its operation. The Framework chosen for development of distributed application is MapReduce namely its implementation called Hadoop. The main benefit of proposed solution lays in speedup of optimization of fitness functions whose evaluation is demanding on computing power. This theoretical benefit was tested with standard test function on distributed architecture. (en)
Title
  • Distributed SOMA Algorithm in Mapreduce Framework
  • Distributed SOMA Algorithm in Mapreduce Framework (en)
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  • Distributed SOMA Algorithm in Mapreduce Framework
  • Distributed SOMA Algorithm in Mapreduce Framework (en)
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  • RIV/70883521:28140/10:63509038!RIV11-MSM-28140___
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  • 254719
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  • RIV/70883521:28140/10:63509038
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  • SOMA; MapReduce; parallel computing; evolutionary computing (en)
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  • [69054E8238E5]
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  • Hradec Králové
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  • Hradec Králové
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  • Masarykova konference pro doktorandy a mladé vědecké pracovníky 2010
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  • Pavlech, Michal
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  • Magnanimitas
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  • 978-80-86703-41-1
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  • 28140
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