I am working on an Analog sizing problem,where i would like to size a circuit (say width & length of transistors,res istor and capacitor values).All the sizeable parameters(gene ) will be stored into a chromosome and a population of such chromosomes are to be initialised as to perform the other GA steps(crossover ,mutation and selection)
.I would like to know whether a numpy array or list would be more suitable for the process.Also suggestions on how to form a list of lists or ND array( for the population) will be welcome.
P.S:I had worked on arrays for my previous optimisation problems(non GA).
.I would like to know whether a numpy array or list would be more suitable for the process.Also suggestions on how to form a list of lists or ND array( for the population) will be welcome.
P.S:I had worked on arrays for my previous optimisation problems(non GA).