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- W1762364609 abstract "An improved vector cross-entropy (CE) method is proposed to provide a potential candidate for solving multi- objective inverse problems with a large number of variables. To balance the exploitation and exploration searches, the whole iterative process is divided into two phases: diversification and intensification phases. Different parameter evolutionary mecha- nisms of the probability density functions (pdfs) are proposed for different phases. To speed up the convergence rate, a dynamic evolutionary mechanism is proposed. To enhance the diversity of the sampling points, a mutation manipulation is introduced. The ZDT test functions and a high frequency inverse problem are used as the case studies to testify the effectiveness and efficiency of the proposed method." @default.
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- W1762364609 date "2014-05-06" @default.
- W1762364609 modified "2023-09-26" @default.
- W1762364609 title "An improved multi-objective cross-entropy method for inverse problems" @default.
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- W1762364609 doi "https://doi.org/10.3233/jae-141894" @default.
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