Graham Kendall
Various Images

Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

How to teach Deep Blue to play poker and deliver groceries
http://bit.ly/1DXGeZD
I am the chair of the MISTA (Multidisciplinary International Conference on Scheduling: Theory and Applications)
http://bit.ly/hvZIaN

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

A compound framework for sports results prediction: A football case study

Publication(s)

Academic Timetabling: Linking Research and Practice
http://bit.ly/eroN3m
Frequency analysis for dendritic cell population tuning
http://bit.ly/go1Ihk
An adaptive multi-population artificial bee colony algorithm for dynamic optimisation problems
http://bit.ly/29btjbV
Population based Local Search for university course timetabling problems
http://bit.ly/1mlJLZj

Graham Kendall: Details of Requested Publication


Citation

Hingston, P and Kendall, G Ant Colonies Discover Knight's Tours. In Proceedings of Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence (AI'04), pages 1213-1218, Cairns, Australia, Lecture Notes in Computer Science 3339, 2005.


Abstract

In this paper we introduce an Ant Colony Optimisation (ACO) algorithm to find solutions for the well-known Knightrsquos Tour problem. The algorithm utilizes the implicit parallelism of ACOrsquos to simultaneously search for tours starting from all positions on the chessboard. We compare the new algorithm to a recently reported genetic algorithm, and to a depth-first backtracking search using Warnsdorffrsquos heuristic. The new algorithm is superior in terms of search bias and also in terms of the rate of finding solutions.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1007/978-3-540-30549-1_125 You can link directly to the original paper, via the doi, from here

What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information



URL

The URL for additional information is http://dx.doi.org/10.1007/b104336

The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.


Bibtex

@INPROCEEDINGS{hk2005a, author = {P. Hingston and G. Kendall},
title = {Ant Colonies Discover Knight's Tours},
booktitle = {Proceedings of Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence (AI'04)},
year = {2005},
editor = {G.I. Webb and X. Yu},
volume = {3339},
series = {Lecture Notes in Computer Science},
pages = {1213--1218},
address = {Cairns, Australia},
month = {December 4-6},
abstract = {In this paper we introduce an Ant Colony Optimisation (ACO) algorithm to find solutions for the well-known Knightrsquos Tour problem. The algorithm utilizes the implicit parallelism of ACOrsquos to simultaneously search for tours starting from all positions on the chessboard. We compare the new algorithm to a recently reported genetic algorithm, and to a depth-first backtracking search using Warnsdorffrsquos heuristic. The new algorithm is superior in terms of search bias and also in terms of the rate of finding solutions.},
comment = {ISBN: 3-540-24059-4, ISSN: 0302-9743},
doi = {10.1007/978-3-540-30549-1_125},
keywords = {games, chess, knight's tour, knights tournament, ACO, ant colony optimisation},
timestamp = {2007.03.29},
url = {http://dx.doi.org/10.1007/b104336},
webpdf = {http://www.graham-kendall.com/papers/hk2005a.pdf} }