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- W2103201213 abstract "Multi-objective evolutionary algorithms (MOEAs) have features that can be exploited to harness the processing power offered by modern multi-core CPUs. Modern programming languages offer the ability to use threads and processes in order to achieve parallelism that is inherent in multi-core CPUs. In this paper we present our parallel implementation of a MOEA algorithm and its application to the de novo drug design problem. The results indicate that using multiple processes that execute independent tasks of a MOEA, can reduce significantly the execution time required and maintain comparable solution quality thereby achieving improved performance." @default.
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- W2103201213 date "2009-11-01" @default.
- W2103201213 modified "2023-09-24" @default.
- W2103201213 title "A Parallel implementation of a Multi-objective Evolutionary Algorithm" @default.
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- W2103201213 doi "https://doi.org/10.1109/itab.2009.5394393" @default.
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