Universal partially evolved parallelization of MOEA/D for multi-objective optimization on message-passing clusters
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DOI: 10.1007/s00500-016-2125-y
Abstract: This paper presents a universal partially evolved parallelization of the multi-objective evolutionary algorithm based on decomposition (MOEA/D) for multi-objective optimization on message-passing clusters to reduce its computation time. The partially evolved MOEA/D (peMOEA/D) is suitable… read more here.
Keywords: partially evolved; multi objective; passing clusters; objective optimization ... See more keywords