Hands-On Genetic Algorithms with Python

Running the program

When running the program with the same parameter values and settings as used in the previous one, the printouts will be as follows:

gen   nevals  max    avg 0     200     61     49.6951     193     65     53.575...39    192     99     98.04 40    173     100    98.29 ...49    187     100    99.83 50    184     100    99.89 

These printouts are automatically generated by the algorithms.eaSimple method, according to the way we defined the statistics object sent to it, as the verbose argument was set to True.

The results are numerically similar to what we saw in the previous program, with two differences:

• There is a printout for generation 0; this was not included in the previous program.
• The genetic flow here continues all the way to the 50th generation, as this was the only stopping condition, ...