Fig 1.
Discrete recombination.
Fig 2.
Intermediate recombination.
Table 1.
Unimodal benchmark functions.
Table 2.
Multimodal benchmark functions.
Table 3.
Test results of the benchmark functions, the dimension fixed to thirty.
Table 4.
Test results of the benchmark function, the dimension fixed to one hundred.
Fig 3.
WOA and RESHWOA convergence curves.
Fig 4.
WOA and RESHWOA convergence curves.
Fig 5.
WOA and RESHWOA convergence curves.
Fig 6.
WOA and RESHWOA convergence curves.
Fig 7.
WOA and RESHWOA convergence curves.
Fig 8.
WOA and RESHWOA convergence curves.
Fig 9.
WOA and RESHWOA convergence curves.
Fig 10.
WOA and RESHWOA convergence curves.
Fig 11.
WOA and RESHWOA convergence curves.
Fig 12.
WOA and RESHWOA convergence curves.
Fig 13.
WOA and RESHWOA convergence curves.
Fig 14.
WOA and RESHWOA convergence curves.
Fig 15.
WOA and RESHWOA convergence curves.
Table 5.
Information of data sets and reduced data by data reduction techniques BC and SNR.
Fig 16.
Flow diagram of the proposed algorithm.
Table 6.
SNR results of RESHWOA and WOA with thirty runs and fifty iterations.
Table 7.
BC results of RESHWOA and WOA with thirty runs and fifty iterations.
Fig 17.
Accuracy of SVM with SNR and BC for different data sets.
Table 8.
Typical datasets and parameter optimization techniques with a specific kernel.