Research data associated to crossover-mutation interaction balance experiment
This dataset was created and utilized for preparing an article submitted to the IEEE Transactions on Evolutionary Computtations. Based on critical review and experiment, the article intends to shed some light on the way crossover-mutation intraction balannce in GA could be comprehended in the view tthat current literature is short of providing generalized rule that guides determination of tha balance of the two operators across domains of problems. For the experiimental part of the work, we created a hypothetical spatial study area of 400 cells represented by its cells centroid coordinates. The 400 cells have been populated by seven land use types and popullation density. the dataset also conttains neighborhood IDs of each land cell.
The CSV file contains ID of the 400 cells, land-uses dataset, population density dataset, neighborhoods ID dataset, and (X,y) centroids dataset. The file can be loaded into implementation algorithm as a CSV file