Table 10 Speed reducer design.

From: Multiple strategies improved spider wasp optimization for engineering optimization problem solving

 

MISWO

SWO

AOA

GWO

HHO

WOA

PSO

WSO

CHIO

b

3.500000

3.499767

3.600000

3.485144

3.490603

3.413919

3.500000

3.500000

3.500000

m

0.70000

0.700003

0.700000

0.700000

0.700000

0.700001

0.70000

0.70000

0.70000

z

17.00646

17.00465

17.00000

17.00000

17.00000

17.61145

17.00000

17.00000

17.00000

\(l_1\)

7.30000

7.313016

7.980361

7.317517

7.918764

7.07768

7.30001

7.30000

7.30000

\(l_2\)

7.71531

7.715881

7.300000

7.716600

7.996075

7.76574

7.71531

7.71531

7.715396

\(d_1\)

3.35054

3.350562

3.493953

3.350747

3.351743

3.40338

3.35054

3.35054

3.35054

\(d_2\)

5.28665

5.286663

5.2848514

5.286655

5.286751

5.33635

5.28665

5.28665

5.28667

f(x)

2994.4244

2995.4006

3104.7064

2995.1923

3006.7516

3016.8084

2994.4245

2994.4244

2994.4247

  1. Comparison of optimization results forspeed reducer design.
  2. Bold indicates the optimal value.