Author: Uri Blass
Date: 08:08:24 03/17/04
Go up one level in this thread
On March 17, 2004 at 11:04:20, Fabien Letouzey wrote: >On March 17, 2004 at 10:27:34, Tom Likens wrote: > >>On March 17, 2004 at 09:52:27, Tord Romstad wrote: >> >>>On March 17, 2004 at 04:58:06, Peter Alloysius wrote: >>> >>>>what are tricks for evaluation tuning so that it could >>>>search less nodes? >>> >>>An easy way to reduce your tree size enormously is to evaluate all >>>positions to the value 0. You will get beta cutoffs at the first move >>>everywhere in the tree, therefore the tree will be extremely small. Your >>>move ordering will always be perfect, and the simple evaluation function >>>will certainly boost your nodes/second count. :-) >>> >>>Seriously, I don't think tuning the evaluation is the right way to go >>>in order to reduce the tree size. You should rather concentrate on >>>making the evaluation function as accurate as possible, and look for >>>improvements in your search and move ordering when trying to reduce the >>>size of your tree. >>> >>>Tord >> >>Ah ha!! I knew there was a final *secret* you weren't sharing Tord, but now the >>cat is out of >>the bag. After reading this I've replaced my evaluation function completely >>with... >> >>return 0; >> >>and it has *never* been faster. >> >>--tom >> > > >That's only the beginning. > >Now that the first move always gives the best score, you don't need to search >the other ones anymore ... > >There are many secrets you did not know about apparently! > >Fabien. There is only one problem evaluating mate position as 0.00 is not a very good idea for results and if your 0.00 is for every position except mates then you cannot be sure that the first move always give the best score. Uri
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