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  • Linear Ordering Problem (LOP) is a well know NP-hard problem combinatorial optimization problem attractive for its complexity, rich library of test data and variety of real world applications. In this paper, we use differential evolution accelerated by the GPU using the nVidia CUDA platform to find good LOP solutions. The well known LOLIB library was used to evaluate the efficiency and precision of the approach in solving LOP instances.
  • Linear Ordering Problem (LOP) is a well know NP-hard problem combinatorial optimization problem attractive for its complexity, rich library of test data and variety of real world applications. In this paper, we use differential evolution accelerated by the GPU using the nVidia CUDA platform to find good LOP solutions. The well known LOLIB library was used to evaluate the efficiency and precision of the approach in solving LOP instances. (en)
Title
  • Differential evolution for the linear ordering problem implemented on CUDA
  • Differential evolution for the linear ordering problem implemented on CUDA (en)
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  • Differential evolution for the linear ordering problem implemented on CUDA
  • Differential evolution for the linear ordering problem implemented on CUDA (en)
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  • RIV/61989100:27240/11:86084968!RIV13-GA0-27240___
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  • P(GA102/09/1494)
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  • 194585
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  • RIV/61989100:27240/11:86084968
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  • nVidia CUDA platform; linear ordering problem; differential evolution; combinatorial optimization problem; NP-hard problem; GPU (en)
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  • [F5F44DB6D47D]
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  • New Orleans
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  • New York
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  • 2011 IEEE Congress of Evolutionary Computation, CEC 2011
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  • Krömer, Pavel
  • Platoš, Jan
  • Snášel, Václav
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number of pages
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  • 10.1109/CEC.2011.5949700
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  • IEEE
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  • 978-1-4244-7834-7
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  • 27240
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