Multiobjective Optimization with NBI (Normal Boundary Interseption) in MATLAB -


i'm trying optimize multiobjective problem in test functions. can weighted sum method. 

function z=fun(u) obj1 = ft(1); obj2= ft(2); z=obj1*w+(1-w)*obj2; end

by minimizing weighted function i'm getting following pareto front (fonseca , fleming f.); weighted sum bi-objective optimization

how can improve method getting pareto front ? enter image description here

in opinion, normal boundary intersection method better this. there code sample method in matlab or programming lang.

thanks helps,


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