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)
Best Answer