Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation.

IEEE Transactions on Cybernetics(2021)

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摘要
A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for evolutionary multitasking, which optimizes multiple optimization tasks simultaneously. With the design of knowledge transfer among different tasks, MFEA has demonstrated the capability to outperform its single-task counterpart in terms of both convergence speed and solution quality. In MFEA, the knowledge transfer ...
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关键词
Task analysis,Knowledge transfer,Optimization,Multitasking,Sociology,Statistics,Evolutionary computation
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