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- W2000466135 abstract "Differential Evolution (DE) is a population-based search algorithm, which has shown good search abilities in many optimization problems. In this paper, we propose a novel DE algorithm, called IDE, to improve the performance of DE. In order to verify the performance of the proposed approach, we test IDE on eight well-known benchmark problems. The comparison results among IDE and two other improved versions of DE show that IDE outperforms them on majority of test problems." @default.
- W2000466135 created "2016-06-24" @default.
- W2000466135 creator A5081442336 @default.
- W2000466135 date "2010-02-01" @default.
- W2000466135 modified "2023-09-25" @default.
- W2000466135 title "On the improvement of Differential Evolution for global optimization" @default.
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- W2000466135 doi "https://doi.org/10.1109/iccae.2010.5451222" @default.
- W2000466135 hasPublicationYear "2010" @default.
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