Author: Fabien Letouzey
Date: 08:04:20 03/17/04
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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.
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