NP-Completeness of the decision problem for the generalized 15-puzzle I am interested in the natural generalization of the famous 15-puzzle, where you have to slide blocks until you have sorted all given numbers (usally there is a gap of 1 block).

Now the generalization would be to extend the size of the puzzle from 15 to $p \times q$, where one field is free. I have created a small illustration (the dashed arrows show permitted moves and the lower configuration shows the solved puzzle):



Given an initial configuration of a puzzle, I ask myself the following question:


  Decision question: Given a puzzle of size $p \times q$, and a number $k \in \mathbb{N}$. Is there a sequence of $k$ or less allowed moves
  that transform the puzzle into the solved configuration?


I already did some investigation and found the article "The $(n^2−1)$-puzzle and related relocation problems" from 1990, which shows that deciding my question for $p=q$ is NP-Complete and therefore that deciding my question is NP-Complete (as the general algorithm could also decide the question for symmetric fields).

The question that remains open is if the decision problem is also NP-Complete for fixed $q&gt;1$. I am particularily interested in the special cases $q=2,3$. It also remains open if allowing more free spaces than one field makes the decision problem harder or easier.

All the articles I could find sadly omit the asymmetric case, thus I think there might be no known results about this. As the proof in the article is quite complicated and doesn't translate at all for fixed height, I rather hope that someone might come up with a different reduction/article that answers some of the questions.

Other related articles (to be extended):


http://larc.unt.edu/ian/pubs/saml.pdf
http://red.cs.nott.ac.uk/~gxk/papers/icga2008_preprint.pdf
http://erikdemaine.org/papers/AlgGameTheory_GONC3/
I think that I found a partial (although quite disappointing) answer to my problem:

I stumbled across this paper (2007):

"The Complexity of Three-Dimensional Channel Routing" by     Satoshi Tayu and Shuichi Ueno

They show (Theorem 4) that the "3d-channel routing problem" with "2-nets" and dimension $p,q$ can be solved if and only if the corresponding (check article for more details) $p \times q-1$ puzzle can be solved.

Below Theorem 1 they propose some problem they call "2.5-D CHANNEL ROUTING", which is basically "3d-channel routing" with fixed depth $k$. They also say "the complexity of
the following problem [2.5-D Channel Routing] is open for any fxed integer $k \geq 2$".

If we knew that the decision version of the $p \times q-1$ puzzle is NP-Complete for some fixed $k \geq 2$ we would also know that 2.5-D Channel Routing is difficult for that $k$, therefore it seems the question can be reduced to some open problem.

It could of course be that the answer to my question would be that $p \times q-1$ puzzle is in P for all fixed $k$, which would still leave their question open (as the general routing doesn't only handle $2$-Nets). Therefore this is no complete answer, it is also rather disappointing that they include no references when claiming that the problem is still open.