1:48 p.m.
With kind regards,
Geoffrey De Smet
Andrew Waterman schreef:
Hi,
Thanks for the rules suggestions, using a simple generated id has
radically improved my solver times (and my scoring).
It surprises me that generated id's radically improve solver times.
Could you give an example of what you changed?
relativeSelection should radically improve solver times, if tweaked
correctly.
I'm now looking
into using the StartingSolutionInitializer code to feed
startingSolutions into the solver.
I'm a little confused about the intended functionality in the interface,
and wanted to get some feedback. Basically, the simple solver that we
had used previously to find our solution space, didn't take into account
any of the topographical constraints of our game board. The solutions
it offered are not highly specific, in the sense that one doesn't know
where all the tokens should be placed. What it does offer are
distributions of tokens on the game board. For example:
4 tokens of managed forest per territory.
4 tokens of moderate pasture per territory.
4 tokens of intensive pasture per territory.
I'd like to use the startingSolutionInitializer to take a suggested
distribution, populate our board with those values, and then pass it
back to the solver to solve.
For that you don't really need a startingSolutionInitializer, you could
just set that solution directly as the starting solution on the solver.
A startSolutionInitializer has the advantage that it can reuse the
instance of the working memory with the score rules to initialize the
starting solution.
Is the initializer the right place to do this? Or should I simply view
the initializer as a deterministic entry point for ordering and
composing an incomplete solution before passing it off to the solver?
best wishes,
Andrew
---------------------------------
Andrew Waterman
San Cristóbal de las Casas, Chiapas, Mexico
+52 1 967 107 5902
+1 510 342 5693
On Feb 13, 2009, at 8:50 AM, Geoffrey De Smet wrote:
>
> With kind regards,
> Geoffrey De Smet
>
>
> Andrew Waterman schreef:
>> Hi,
>> I've been looking through my solver logs and on a problem i have
>> posed, the solver seems to first initialize and setup a best score:
>> INFO: Initialization time spend (3) for score (-5000004.0). Updating
>> best solution and best score.
>> However, this score is not correct. I use collect to load Tokens of
>> a certain type for my game, and those that are found, penalize the
>> system with a constraint:
>> rule "Too much unclaimed territory"
>> when
>> $list : ArrayList ( size > 2) from collect (
>> Token ($type : type == TokenType.UNDEVELOPED))
>> then
>> for (int i = 0; i < $list.size(); i++) {
>> insertLogical (new IntConstraintOccurrence (
>> "Too much unclaimed territory",
>> ConstraintType.NEGATIVE_SOFT, 3, $list));
>
> Doesn't this insert the same logical fact in a loop? So only 1
> instance actually remains in the working memory?
> If you want to have to list.size() affect the score, just do:
> 3 * list.size()
>
>> }
>> end
>
> Why use collect anyway?
>
> when
> $t1 : Token ($type : type == TokenType.UNDEVELOPED, id1 : id)
> $t2 : Token ($type : type == TokenType.UNDEVELOPED, id > id1,
> id2 : id)
> $t3 : Token ($type : type == TokenType.UNDEVELOPED, id > id2,
> id3 : id)
>
> // maybe you need things like this: not Token ($type : type ==
> TokenType.UNDEVELOPED, id > id3)
> then
> insertLogical (new IntConstraintOccurrence ("Too much unclaimed
> territory", ConstraintType.NEGATIVE_SOFT, 3, $t1, $t2, $t3));
>
>> However, the initial score does not seem to account for these
>> inserted facts. Due to this, all improving solutions are rejected,
>> and I see no change in the solution the solver finds and my starting
>> solution. Any suggestions on how to delay initialization? Or get
>> the starting score to take into account this constraint (I've made it
>> SOFT so the values aren't so hard to follow in the logs, it was
>> initially a HARD constraint). I'd love to find a way around this
>> problem, I've spent most of the day playing with different
>> configurations (acceptors and foragers) trying to find a
>> configuration that works for this base problem.
>> best wishes,
>> Andrew
>> ---------------------------------
>> Andrew Waterman
>> San Cristóbal de las Casas, Chiapas, Mexico
>> +52 1 967 107 5902
>> +1 510 342 5693
>> ------------------------------------------------------------------------
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