I am currently working with Genetic Algorithm based optimization and using the Pygad library to execute genetic operation.
I am working with floating point numbers as my input variables. My plan is to use 8 bit binary representation of the floating number (input variable) in genetic operation as it will allow more stable change in the chromosome after a crossover and mutation operation. I have found a very nice blog written by you on "Paperspace" about the use of binary numbers in PyGad. Unfortunately, this process works with integer number by restrict the gene space between 0 to 1 rather than actually working with binary representation. Both the chromosome and gene are considered one single entity in the process described above, where my goal is to have 8 gene for each chromosome.
Is it possible in current PyGad version to represent floating number to 8 bit binary and execute the genetic operation instead of converting the floating number to integer and restricting the gene space from 0 to 1?

Thank you very much for the magnificent library for genetic operation.