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How to Normalize Objective Function in HyperStudy ?

Hello,

I am trying to conduct Multi-Objective Optimization Analysis. Mainly, my design variables are thickness of rib and skin panel,

Response I am looking for is Frequency and element stress. I have constraints on them.

Objectives are to minimize tip displacement and mass. When I selected weighted sum method, it only multiplies weights with tip displacement and mass. Then, sum them up . I would like to normalize both of them. Then, multiply them with weight coefficients. I can't find appropriate selection in tool bar in hyperstudy.

How can I activate normalizing objective functions,

Thanks

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Adriano_Koga

you could simply build an extra response 'myWeightedObj' and create an expression with some weighting factors as desired.

let's say you have

r_1 = disp

r_2 = stress

r_3 = mass

myWeightedObj would be, i.e:

(1/10)*r_1 + (1/100)*r_2 + 1*r_3

Of course you would need to tweek a littkle bit the weightings.

BUGRA

you could simply build an extra response 'myWeightedObj' and create an expression with some weighting factors as desired.

let's say you have

r_1 = disp

r_2 = stress

r_3 = mass

myWeightedObj would be, i.e:

(1/10)*r_1 + (1/100)*r_2 + 1*r_3

Of course you would need to tweek a littkle bit the weightings.

Hello Adriano,

Thanks for responding,

I see you are directly multiplying objective functions with coefficient, how can I normalize them ?