Table 9 Comparison of the SP and extreme solutions for the gear train problem.

From: NSCSO: a novel multi-objective non-dominated sorting chicken swarm optimization algorithm

Algorithm

SP

Objective function

 

\(f_{1}\)

\(f_{2}\)

MOSMA

0.2905

–

–

 \(f_{1} \to \min\)

–

6.00 × 10–08

39

 \(f_{2} \to \min\)

–

7.32 × 10–01

12

MOSPO

0.1573

  

 \(f_{1} \to \min\)

–

2.65 × 10–09

40

 \(f_{2} \to \min\)

–

7.32 × 10–01

12

NSCSO

0.1126

–

–

 \(f_{1} \to \min\)

–

8.70 × 10–11

32

 \(f_{2} \to \min\)

–

7.32 × 10–01

12

  1. Significant values are in bold.
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