QUT ePrints

A Move Generating Algorithm for Hex Solvers

Rasmussen, Rune K., Maire, Frederic D., & Hayward, Ross F. (2006) A Move Generating Algorithm for Hex Solvers. In AI 2006: The 19th ACS Australian Joint Conference on Artificial Intelligence, December 4-8, 2006, Hobart, Australia.

View at publisher

Abstract

Generating good move orderings when searching for solutions to games can greatly increase the efficiency of game solving searches. This paper proposes a move generating algorithm for the board game called Hex, which in contrast to many other approaches, determines move orderings from knowledge gained during the search. This move generator has been used in Hex searches solving the 6x6 Hex board with comparative results indicating a signifcant improvement in performance. One anticipates this move generator will be advantageous in searches for complete solutions of Hex boards, equal to, and larger than, the 7x7 Hex board.

Impact and interest:

1 citations in Scopus
Search Google Scholar™
1 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

1,252 since deposited on 29 Sep 2006
494 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 5121
Item Type: Conference Paper
DOI: 10.1007/11941439_68
ISBN: 9783540497875
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2006 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 29 Sep 2006
Last Modified: 29 Feb 2012 23:21

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page