Genetic programming: Difference between revisions

Revision as of 00:59, 17 August 2001

Revision as of 19:49, 10 December 2001

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The biggest problem with this approach is, apparently, that program code is very volatile, it can be hard to make a difference to a program that is very small. Changing just a single byte of code representation often results in catastrophic change, even though the program can be in need of a little change. [[Genetic algorithms]] need both subtle and large change, and the change in genetic programming is very hard to control. [[Neural network|Neural networks]] are better in this aspect, but they also change and evolve more slowly, and they are not as flexible as GP, remember that a neural network is only a subset to a computer program.