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Table 26 The proposed RBNRO-DE and its peers based on the computational complexity

From: Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data

Algorithm

Time computational complexity

Space computational complexity

RBNRO-DE

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BSSA

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BABC

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BPSO

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BBA

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BGWO

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BWOA

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BGOA

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BSFO

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BHHO

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BBSA

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BASO

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)

BHGSO

\(O_{time}({G}_{max} \times N \times D)\)

\(O_{space}(N \times D)\)