Genetic programming is a method to optimize non-linear problems.
You have a set of starting values. You have a fitness function that you can plug the values in.
You can let starting values "mate" with each other and let them basically produce "children". Kids with bad/worse fitness are ignored while you focus on the fit ones.
This reduces the search space since full depth/breadth first search is not feasible.
The process of mating can be quite easy (just take the average of both parents) or complicated. You definitely have the skill to work on the problems.
I'm in the discord chat but honestly not very good at using it. I posted in the chat that I was told to, awaiting instructions. I think I did this right lol
Genetic programming is a method to optimize non-linear problems.
You have a set of starting values. You have a fitness function that you can plug the values in.
You can let starting values "mate" with each other and let them basically produce "children". Kids with bad/worse fitness are ignored while you focus on the fit ones.
This reduces the search space since full depth/breadth first search is not feasible.
The process of mating can be quite easy (just take the average of both parents) or complicated. You definitely have the skill to work on the problems.
I'm in the discord chat but honestly not very good at using it. I posted in the chat that I was told to, awaiting instructions. I think I did this right lol