Hello researchers
Two groups of results have been obtained through genetic programming, which are:
GP-based approach 1: Cross over=0.599, mutation rate=0.5, size of tournament=6, max tree depth=10, competition size=5, reproduction rate=0.122, Min initial tree size=3, and max tree size=6.
GP-based approach 2: Cross over=0.8, mutation rate=0.3, size of tournament=9, max tree depth=12, competition size=8, reproduction rate=0.109, Min initial tree size=5, and max tree size=10.
What was mentioned, is approach 2 better than 1?
because crossover rate of 2 is higher 1, mutation rate of 2 is lower than1, size of tournament of 2 is higher than 1, max tree depth of 2 is higher than 1, Competition size of 2 is higher than 1, reproduction rate of 2 is lower than 1, Min initial tree size and max tree size of 2 are higher than 1
Is this conclusion correct?
Thanks for your support
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