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Table 5 Parameter choice in the experiments

From: Performance impact of mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems

Parameter

Subpopulation-based GA

Standard GA

\(pop\_sub\)

10

–

\(tor\_siz\)

–

2

\(eli\_cnt\)

2

2

\(best\_num\)

1

–

\(p_c\)

–

0.9

\(p_m\)

1

0.01

\(p_a\)

0.2

0.2

Crossover

–

PMX

Mutation

Inversion

Inversion