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

2 views (last 30 days)
ad aymen on 28 Aug 2020
Commented: ad aymen on 9 Sep 2020
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 '
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)

Star Strider on 28 Aug 2020
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 on 9 Sep 2020
Can the ''y'' value be improved to be the maximum value ?

Gifari Zulkarnaen on 28 Aug 2020
Make the fitness function to be 1/f(x) where f(x) is your original maximization.
ad aymen on 28 Aug 2020
thank you

### Categories

Find more on Genetic Algorithm in Help Center and File Exchange

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by