TY - GEN

T1 - Predicting optimal solution cost with bidirectional stratified sampling (abstract)

AU - Lelis, Levi H.S.

AU - Stern, Roni

AU - Felner, Ariel

AU - Zilles, Sandra

AU - Holte, Robert C.

PY - 2012/12/1

Y1 - 2012/12/1

N2 - Optimal planning and heuristic search systems solve state-space search problems by finding a least-cost path from start to goal. As a byproduct of having an optimal path they also determine the optimal solution cost. In this paper we focus on the problem of determining the optimal solution cost for a state-space search problem directly, i.e., without actually finding a solution path of that cost. We present an efficient algorithm, BiSS, based on ideas of bidirectional search and stratified sampling that produces accurate estimates of the optimal solution cost. Our method is guaranteed to return the optimal solution cost in the limit as the sample size goes to infinity.

AB - Optimal planning and heuristic search systems solve state-space search problems by finding a least-cost path from start to goal. As a byproduct of having an optimal path they also determine the optimal solution cost. In this paper we focus on the problem of determining the optimal solution cost for a state-space search problem directly, i.e., without actually finding a solution path of that cost. We present an efficient algorithm, BiSS, based on ideas of bidirectional search and stratified sampling that produces accurate estimates of the optimal solution cost. Our method is guaranteed to return the optimal solution cost in the limit as the sample size goes to infinity.

UR - http://www.scopus.com/inward/record.url?scp=84893356853&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84893356853

SN - 9781577355847

T3 - Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012

SP - 186

EP - 187

BT - Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012

T2 - 5th International Symposium on Combinatorial Search, SoCS 2012

Y2 - 19 July 2012 through 21 July 2012

ER -