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- W2783684507 abstract "Grey Wolf Optimiser (GWO) is the recently proposed meta-heuristic algorithm inspired by grey wolves. The original version of GWO has been proposed to solve problems in continuous search spaces. However, there are many optimisation problems in discrete binary search spaces such as feature selection and dimensionality reduction. We applied eight transfer functions in our BGWO and compared their performance. The test functions whose minimum points are gotten at 0 are selected as bench functions but also those functions their minimum value are gotten at 1." @default.
- W2783684507 created "2018-01-26" @default.
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- W2783684507 date "2017-01-01" @default.
- W2783684507 modified "2023-09-25" @default.
- W2783684507 title "A comparison of different transfer functions for binary version of grey wolf optimiser" @default.
- W2783684507 doi "https://doi.org/10.1504/ijwmc.2017.10010285" @default.
- W2783684507 hasPublicationYear "2017" @default.
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