Chess Optimizations

Question

ok, so i have been working on my chess program for a while and i am beginning to hit a wall. i have done all of the standard optimizations (negascout, iterative deepening, kille

Answer 1

I know that one improvement that was talked about at the AI courses in university where having a huge database of finishing moves. So having a precalculated database for games with only a small number of figures left. So that if you hit a near end positioning in your search you stop the search and take a precalculated value that improves your search results like extra deepening that you can do for important/critique moves without much computation time spend. I think it also comes with a change in heuristics in a late game state but I'm not a chess player so I don't know the dynamics of game finishing.