Research Article

A Dynamic Opposite Learning Assisted Grasshopper Optimization Algorithm for the Flexible JobScheduling Problem

Table 5

The mean and standard value of hybrid test functions.

AlgorithmsDOLGOAGOAGWOTLBOJaya

F17Mean3.89E + 048.39E + 059.13E + 057.88E + 052.79E + 05
Std2.11E + 041.06E + 061.03E + 066.08E + 051.38E + 05
F18Mean2.95E + 035.90E + 038.69E + 062.17E + 037.73E + 05
Std2.94E + 033.81E + 031.56E + 072.92E + 033.06E + 05
F19Mean1.50E + 011.37E + 014.51E + 015.37E + 011.20E + 01
Std1.97E + 004.99E + 002.33E + 012.77E + 011.39E + 00
F20Mean1.71E + 023.10E + 021.06E + 045.49E + 031.04E + 03
Std2.67E + 011.00E + 022.17E + 036.47E + 039.24E + 02
F21Mean2.05E + 041.30E + 052.51E + 052.51E + 044.14E + 04
Std8.65E + 037.83E + 043.33E + 051.27E + 049.43E + 03
F22Mean2.40E + 024.64E + 022.49E + 025.03E + 023.85E + 02
Std1.48E + 022.25E + 021.01E + 021.44E + 027.13E + 01
F23Mean2.00E + 023.21E + 023.32E + 022.00E + 023.25E + 02
Std1.18E − 054.80E + 008.01E + 002.03E − 132.94E + 00
Best num50021