Particle Swarm Optimization Using Neighborhood-Based Mutation Operator and Intermediate Disturbance Strategy for Outbound Container Storage Location Assignment Problem
Table 3
The mean and standard deviations of the function values for 30-D problems.
Function
TPA
CPSO-H6
LPSO
FIPS
CLPSO
APSO
Mean
4.39e+00
3.23e+03
6.71e+01
3.32e+01
2.76e+01
3.05e+02
Std
4.89e+00
1.64e+04
4.00e+01
2.12e+01
2.14e+01
5.29e+02
Mean
1.89e-09
4.81e-05
1.62e-05
5.41e-07
2.95e-09
9.01e-02
Std
1.04e-09
3.09e-05
1.18e-05
2.32e-07
1.12e-09
4.98e-02
Mean
1.72e-09
8.06e-02
1.79e-02
4.77e-04
4.27e-09
3.38e-01
Std
2.62e-09
5.91e-02
1.55e-02
1.95e-03
1.41e-08
2.35e-01
Mean
3.89e-05
1.65e-01
2.22e-03
6.64e-03
5.99e-04
8.51e-03
Std
3.42e-05
8.08e-01
4.06e-03
1.63e-03
3.63e-04
9.75e-03
Mean
2.19e-09
5.25e+01
4.46e+01
8.45e+01
3.32e-02
1.17e+00
Std
2.40e-09
2.08e+01
1.31e+01
1.16e+01
1.85e-01
8.61e-01
Note: TPA stands for the proposed algorithm. “Mean” is the mean of the solutions. “Standard deviation” is abbreviated as “Std”. The numbers in italic denote the best solution.
