As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
ArvandHerd is a parallel planner that won the multicore sequential satisficing track of the 2011 International Planning Competition (IPC 2011). It assigns processors to run different members of an algorithm portfolio which contains several configurations of each of two different planners: LAMA-2008 and Arvand. In this paper, we demonstrate that simple techniques for using different planner configurations can significantly improve the coverage of both of these planners. We then show that these two planners, when using multiple configurations, can be combined to construct a high performance parallel planner. In particular, we will show that ArvandHerd can solve more IPC benchmark problems than even a perfect parallelization of LAMA-2011, which won the satisficing track at IPC 2011. We will also show that the coverage of ArvandHerd can be further improved if LAMA-2008 is replaced by LAMA-2011 in the portfolio.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.