078b2512f26bfb20aa3ecbb6a065008bf7d45753,framework/Optimizers/fitness/fitness.py,,invLinear,#Any#,22

Before Change

    penalty = kwargs["penalty"]

  objVar = kwargs["objVar"]
  obj = eval(str("rlz."+objVar+".data"))
  fitness = 1/(a * obj + b * penalty)
  return fitness

__fitness = {}

After Change

  objVar = kwargs["objVar"]
  // Intializing fitness
  fitness = xr.DataArray(np.zeros((eval("rlz[\"" + objVar + "\"].size"))),
                              dims=["chromosome"],
                              coords={"chromosome": np.arange(eval("rlz[\"" + objVar + "\"].size"))})
  for i in range(eval("rlz[\"" + objVar + "\"].size")):
    obj = eval("rlz[\"" + objVar + "\"].data[i]")//.data
    fitness[i] = 1/(a * obj + b * penalty)
  return fitness

Instances