(Kepler’s 3rd Law of Planetary Motion table by the Physics Classroom)
(continued from Premature convergence)
Working from AIMS and my apartment these past two days, I was able to resolve a persistent floating point issue by employing a round function before the fitness evaluation.
I also fixed the minimisation function with the discovery of 2 copy/pasted lines of code I had apparently failed to come back to. It appears this has not been working for some time, as I have been focused on other aspects of the code.
Finally! Just like that! Karoo GP now resolves Kepler’s 3rd Law of Planetary Motion! YES!!!
I ran it with the default Depth 3 and minimum node count of 3 and again, it came up with t/t = 1. So I ran it again with Depth 5 [2^(d+1)-1 = 63 possible nodes] and minimum node count of 9.
While it struggled for the first 5-6 generations, converging on what appeared to be 1 again, some mutation gave it the correct answer and in just 3 generations the correct trees dominated! Coooool!
This proves 2 of the 3 desired functions: regression maximisation (match) and regression minimisation. Only classification remains to prove Karoo GP road worthy.