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Table 4 Selection methods in genetic operations

From: Research on urban landscape design using the interactive genetic algorithm and 3D images

Ranking condition Selection methods
Difference between the best and second best score is greater than or equal to 0.1. The best G-Type with the greatest score is preserved and 3 other G-Types are generated by the mutation operation to the best G-Type.
Difference between the best and second best score is less than 0.1. The best G-Type is preserved and 3 other G-Types are generated by crossover and mutation operations between G-Types with the best and second best scores.
There are 2 best scores. Four new urban landscapes are created by crossing and mutating 2 urban landscapes with best scores.
There are 3 best scores. Four new urban landscapes are created by crossing and mutating 3 urban landscapes with best scores.
There are 4 best scores. Four new urban landscapes are created by crossing and mutating 4 urban landscapes with best scores.