Experimental Investigation and Multiobjective Optimization of Turning Duplex Stainless Steels

Algorithm 1

Multiobjective bat algorithm (MOBA) [10].

Objective functions , =

Initialize the bat population () and

for   = 1 to (points on Pareto fronts)

        while ( < Max number of iterations)

                Generate new solutions and update by (1)

                if (rand > )

                        Random walk around a selected best solution

                end if

                Generate a new solution by flying randomly

                if  (

                        Accept the new solutions,

                        and increase reduce

                end if

                Rank the bats and find the current best

        end while

        Record as a non-dominated solution

end

Postprocess results and visualization