dd1575073ca40d69c9d9f5f0d64e7517e23eba8a,framework/Optimizers/parentSelectors/parentSelectors.py,,rankSelection,#Any#,118

Before Change

  nParents= kwargs["nParents"]
  pop = population.copy()
  
  selectedParent = xr.DataArray(
      np.zeros((nParents,np.shape(pop)[1])),
      dims=["chromosome","Gene"],
      coords={"chromosome":np.arange(nParents),
              "Gene": kwargs["variables"]})
  
  return selectedParent

After Change

  index = np.arange(0,pop.shape[0])
  rank = np.arange(0,pop.shape[0])
  
  data = np.vstack((fitness,index))
  dataOrderedByDecreasingFitness = data[:,(-data[0]).argsort()]
  dataOrderedByDecreasingFitness[0,:] = rank
  dataOrderedByIncreasingPos = dataOrderedByDecreasingFitness[:,dataOrderedByDecreasingFitness[1].argsort()]
  orderedRank = dataOrderedByIncreasingPos[0,:]
  
  selectedParent = rouletteWheel(population, fitness=orderedRank , nParents=kwargs["nParents"])
  
  return selectedParent

Instances