Multipass Turning Operation Process Optimization Using Hybrid Genetic Simulated Annealing Algorithm

Algorithm 1

HSAGA proposed algorithm.

Begin

Set , , , and

Generate feasible solution Pop⁰

For to pop_size

Calculate fitness values (Pop⁰)

end

while :

While :

Select two individuals from

If :

Apply crossover

If :

Apply mutation

end

end

new-pop

for to pop_size:

Calculate new fitness values (new-pop)

end

if :

Temp-pop = new-pop,: ]

else if :

Temp-pop = new-pop

if :

if :

Temp-pop = new-pop[,: ]

end

new-pop = Temp-pop

end

Return optimal value

end