genetic-programming

I'm trying to remove the overlap within a file. There's a bunch of records that starts with an 'A' and which have a 'start-value' and an 'end-value'. There's also a bunch of records that start with a 'B', also has range and that shows a possible overlap with records starting with 'A'. The idea is to remove the overlapping range from A so only non-overlapping ranges exist. Some of the records in B have an identical 'start-value' while others have an identical 'end-value' with A. So, if A has a range of 0 - 100 and B has a range of 0 - 32. Then my expected output is: A 33 - 100 and B 0 - 32.

I'm doing a linear genetic programming project, where programs are bred and evolved by means of natural evolution mechanisms. Their "DNA" is basically a container (I've used arrays and vectors successfully) which contain function pointers to a set of functions available. Now, for simple problems, such as mathematical problems, I could use one type-defined function pointer which could point to functions that all return a double and all take as parameters two doubles. Unfortunately this is not very practical. I need to be able to have a container which can have different sorts of function

I have a question regarding Genetic Programming. I am going to work on a genetic algorithm for a game called Battleships . My question is: How would I decide upon a "decision" model for the AI to evolve? And how does that work? I have read multiple papers and multiple answers that just speak about using different models, but could not find something specific, which, unfortunately, I apparently need to wrap my head around the problem. I want it to evolve over multiple iterations and "learn" what works best, but not sure how to save these "decisions" (I know to a file, but "encoded" how?) in a