Table 18:
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Results of speed reducer problem compared with other algorithms.

Algorithms|${x}_1$||${x}_2$||${x}_3$||${x}_4$||${x}_5$||${x}_6$||${x}_7$||${f}_{\mathrm{min}}( x )$|
WOA (Mirjalili & Lewis, 2016)3.53310.700117.62777.74448.01773.52275.32403218.4224
MTDE (Nadimi-Shahraki et al., 2020)3.54810.702917.15577.80838.05143.44745.34283128.9722
DMOA (Agushaka et al., 2022)3.59770.708317.00007.72538.02503.40585.30643109.5646
SCA (Mirjalili, 2016)3.58280.700017.00907.73298.09063.45675.33973103.3247
AO (Abualigah et al., 2021b)3.53720.700017.03527.57807.99103.40485.31043053.4297
CSO (Meng et al., 2014)3.53420.707717.00007.30007.80003.35075.28673045.7023
SSA (Mirjalili et al., 2017)3.51090.700017.00007.67288.05343.43905.28683033.4752
SCSO3.50040.700017.00027.98518.00343.36135.28683009.9659
SC-AOA3.50030.700017.00007.30237.80253.35025.28702996.7149
Algorithms|${x}_1$||${x}_2$||${x}_3$||${x}_4$||${x}_5$||${x}_6$||${x}_7$||${f}_{\mathrm{min}}( x )$|
WOA (Mirjalili & Lewis, 2016)3.53310.700117.62777.74448.01773.52275.32403218.4224
MTDE (Nadimi-Shahraki et al., 2020)3.54810.702917.15577.80838.05143.44745.34283128.9722
DMOA (Agushaka et al., 2022)3.59770.708317.00007.72538.02503.40585.30643109.5646
SCA (Mirjalili, 2016)3.58280.700017.00907.73298.09063.45675.33973103.3247
AO (Abualigah et al., 2021b)3.53720.700017.03527.57807.99103.40485.31043053.4297
CSO (Meng et al., 2014)3.53420.707717.00007.30007.80003.35075.28673045.7023
SSA (Mirjalili et al., 2017)3.51090.700017.00007.67288.05343.43905.28683033.4752
SCSO3.50040.700017.00027.98518.00343.36135.28683009.9659
SC-AOA3.50030.700017.00007.30237.80253.35025.28702996.7149
Table 18:
Open in new tab

Results of speed reducer problem compared with other algorithms.

Algorithms|${x}_1$||${x}_2$||${x}_3$||${x}_4$||${x}_5$||${x}_6$||${x}_7$||${f}_{\mathrm{min}}( x )$|
WOA (Mirjalili & Lewis, 2016)3.53310.700117.62777.74448.01773.52275.32403218.4224
MTDE (Nadimi-Shahraki et al., 2020)3.54810.702917.15577.80838.05143.44745.34283128.9722
DMOA (Agushaka et al., 2022)3.59770.708317.00007.72538.02503.40585.30643109.5646
SCA (Mirjalili, 2016)3.58280.700017.00907.73298.09063.45675.33973103.3247
AO (Abualigah et al., 2021b)3.53720.700017.03527.57807.99103.40485.31043053.4297
CSO (Meng et al., 2014)3.53420.707717.00007.30007.80003.35075.28673045.7023
SSA (Mirjalili et al., 2017)3.51090.700017.00007.67288.05343.43905.28683033.4752
SCSO3.50040.700017.00027.98518.00343.36135.28683009.9659
SC-AOA3.50030.700017.00007.30237.80253.35025.28702996.7149
Algorithms|${x}_1$||${x}_2$||${x}_3$||${x}_4$||${x}_5$||${x}_6$||${x}_7$||${f}_{\mathrm{min}}( x )$|
WOA (Mirjalili & Lewis, 2016)3.53310.700117.62777.74448.01773.52275.32403218.4224
MTDE (Nadimi-Shahraki et al., 2020)3.54810.702917.15577.80838.05143.44745.34283128.9722
DMOA (Agushaka et al., 2022)3.59770.708317.00007.72538.02503.40585.30643109.5646
SCA (Mirjalili, 2016)3.58280.700017.00907.73298.09063.45675.33973103.3247
AO (Abualigah et al., 2021b)3.53720.700017.03527.57807.99103.40485.31043053.4297
CSO (Meng et al., 2014)3.53420.707717.00007.30007.80003.35075.28673045.7023
SSA (Mirjalili et al., 2017)3.51090.700017.00007.67288.05343.43905.28683033.4752
SCSO3.50040.700017.00027.98518.00343.36135.28683009.9659
SC-AOA3.50030.700017.00007.30237.80253.35025.28702996.7149
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