Analytical Results on the BFS vs. DFS Algorithm Selection Problem: Part II: Graph Search
-
Altmetric Citations
Description
The algorithm selection problem asks to select the best algorithm for a given problem. In the companion paper (Everitt and Hutter 2015b), expected runtime was approximated as a function of search depth and probabilistic goal distribution for tree search versions of breadth-first search (BFS) and depth-first search (DFS). Here we provide an analogous analysis of BFS and DFS graph search, deriving expected runtime as a function of graph structure and goal distribution. The applicability of the...[Show more]
dc.contributor.author | Everitt, Tom | |
---|---|---|
dc.contributor.author | Hutter, Marcus | |
dc.coverage.spatial | Canberra, Australia | |
dc.date.accessioned | 2016-06-14T23:21:15Z | |
dc.date.created | 30 November to 4 December 2015 | |
dc.identifier.isbn | 9783319263496 | |
dc.identifier.uri | http://hdl.handle.net/1885/103801 | |
dc.description.abstract | The algorithm selection problem asks to select the best algorithm for a given problem. In the companion paper (Everitt and Hutter 2015b), expected runtime was approximated as a function of search depth and probabilistic goal distribution for tree search versions of breadth-first search (BFS) and depth-first search (DFS). Here we provide an analogous analysis of BFS and DFS graph search, deriving expected runtime as a function of graph structure and goal distribution. The applicability of the method is demonstrated through analysis of two different grammar problems. The approximations come surprisingly close to empirical reality | |
dc.publisher | Springer International Publishing AG | |
dc.relation.ispartofseries | 28th Australasian Joint Conference on Artificial Intelligence AI 2015 | |
dc.rights | Author Everitt now added 13Jan16 | |
dc.source | Implementing Modal Tableaux Using Sentential Decision Diagrams | |
dc.title | Analytical Results on the BFS vs. DFS Algorithm Selection Problem: Part II: Graph Search | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2015 | |
local.identifier.absfor | 080199 - Artificial Intelligence and Image Processing not elsewhere classified | |
local.identifier.absfor | 080201 - Analysis of Algorithms and Complexity | |
local.identifier.ariespublication | u4334215xPUB1540 | |
local.type.status | Published Version | |
local.contributor.affiliation | Everitt, Tom, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Hutter, Marcus, College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 166 | |
local.bibliographicCitation.lastpage | 178 | |
local.identifier.doi | 10.1007/978-3-319-26350-2_15 | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
dc.date.updated | 2016-06-14T09:03:37Z | |
local.identifier.scopusID | 2-s2.0-84952662841 | |
Collections | ANU Research Publications |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Everitt_Analytical_Results_on_the_BFS_2015.pdf | 361.66 kB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator