Table 2 Performance comparison of different algorithms on ZDT functions, the indicators’ values are the means and the variance in brackets.

From: A BiLSTM model enhanced with multi-objective arithmetic optimization for COVID-19 diagnosis from CT images

Functions

Indicator

MOPSO

NSGA-II

MOAOA

ZDT1

IGD

0.0599/(0.0437)

\({\textbf {0.0395}}\)/(0.0087)

0.0841/(\({\textbf {0.0018}}\))

SP

0.007/(0.0048)

0.1124/(0.0011)

\({\textbf {0.0033/(0.0003)}}\)

HV

0.6714/(0.0307)

\({\textbf {0.6741}}\)/(0.0106)

0.4251/(\({\textbf {0.0034}}\))

\(\Delta\)

0.8107/(0.1343)

\({\textbf {0.4239}}\)/(0.0593)

0.9257/(\({\textbf {0.0199}}\))

ZDT2

IGD

\({\textbf {0.2363}}\)/(0.0302)

0.0266/(0.0067)

0.2696/(\({\textbf {0.0028}}\))

SP

\({\textbf {0.0022}}\)/(0.0021)

0.0032/(\({\textbf {0.0003}}\))

0.1616/(0.0917)

HV

\({\textbf {0.5621}}\)/(0.0322)

0.4039/(0.0100)

0.4251/(\({\textbf {0.0034}}\))

\(\Delta\)

0.9543/(0.0341)

\({\textbf {0.4434/(0.0235}}\))

0.9257/(0.0593)

ZDT3

IGD

0.2411/(0.0207)

\({\textbf {0.0412}}\)/(0.0086)

0.0728/(\({\textbf {0.0029}}\))

SP

0.0041/(0.0021)

0.0035/(0.0027)

\({\textbf {0.0170/(0.0019)}}\)

HV

0.5091/(\({\textbf {0.0031}}\))

\({\textbf {0.5880}}\)/(0.0186)

0.4251/(0.0034)

\(\Delta\)

0.7356/(0.0423)

0.6845/(0.0223)

\({\textbf {0.6536/(0.0211)}}\)

ZDT4

IGD

0.0599/(0.0437)

0.5452/(0.3919)

\({\textbf {0.0179/(0.0018)}}\)

SP

0.0632/(\({\textbf {0.0043}}\))

\({\textbf {0.0042}}\)/(0.0057)

0.0708/(0.0082)

HV

0.5428/(0.0342)

0.2631/(0.2701)

\({\textbf {0.8550/(0.0014)}}\)

\(\Delta\)

0.7653/(0.1587)

\({\textbf {0.6521}}\)/(0.1284)

0.9257/(\({\textbf {0.0593}}\))

  1. Significant values are in bold.