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Table 1

GA hyper-parameters and corresponding experimental levels

No.ParameterCodeLevel
1234
Migration direction Both Forward   
Population size 50 100 150 200 
Fitness scaling function Proportional Shift linear Top Rank 
Selection function Tournament Uniform Roulette Stochastic uniform 
Elite count 10 15 
Crossover fraction 0.3 0.5 0.7 0.9 
Crossover function Scattered Tow point Arithmetic Single point 
No.ParameterCodeLevel
1234
Migration direction Both Forward   
Population size 50 100 150 200 
Fitness scaling function Proportional Shift linear Top Rank 
Selection function Tournament Uniform Roulette Stochastic uniform 
Elite count 10 15 
Crossover fraction 0.3 0.5 0.7 0.9 
Crossover function Scattered Tow point Arithmetic Single point 
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