An efficient improved greedy harris hawks optimizer and its application to feature selection

HIGHLIGHTS

  • who: Lewang Zou et al. from the Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University have published the research work: An Efficient Improved Greedy Harris Hawks Optimizer and Its Application to Feature Selection, in the Journal: Entropy 2022, 24, 1065. of /2022/
  • what: The authors propose new objective functions for the problem of data imbalance in FS and apply IGHHO to it. The authors propose an efficient improved greedy HHO (IGHHO), starting from the update mechanism and the incorporation of new operators, replacing the development strategy of HHO with a . . .

     

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