Help !! How to use Genetic Algorithm for maximisation process as it is used for minimisation process?

How to use Genetic Algorithm for maximisation process as it is used for minimisation process?

There are those who tell you other than the sign equation

but I can't change it cos it is an equation preserved by neural networks

This work improves the linear actuator so that it is sandwiched between LB and LU

I want the most value for ' y '

please help me

fitness=@fen;

nvars=2; % Number of variables

LB=[... ...]; %LB Lower bound on x

UB=[... ...]; %UB Upper bound on x

[x,y] = ga(fitness,nvars,[],[],[],[],LB,UB)

Answer 1

[Star Strider]

Negate the fitness function to select for the maximum:

[x,y] = ga(@(x)-fitness(x),nvars,[],[],[],[],LB,UB)

Note that this assumes ‘fitness’ has only one argument.

If you are passing extra parameters, this works:

[x,y] = ga(@(x)-fitness(x,a,b),nvars,[],[],[],[],LB,UB)

where ‘a’ and ‘b’ (and perhaps others) are the extra parameters.

[ad aymen]

thank you. the problem is solved

[Star Strider]

As always, my pleasure!

[ad aymen]

Can the ''y'' value be improved to be the maximum value ?

Answer 2

[Gifari Zulkarnaen]

Make the fitness function to be 1/f(x) where f(x) is your original maximization.

[ad aymen]

thank you