Griffith University

Journal Publications

1. W.J.Pullan, A Pragmatic Ada Software Development Methodology, Ada Letters, 15, 2, 1995.
2. W.J.Pullan, A Direct Search Method Applied to a Molecular Structure Problem, Australian Computer Journal, 29, 4, 1996.
3. W.J.Pullan, Energy Minimisation of Mixed Argon-Xenon Micro-clusters using a Genetic Algorithm, Journal of Computational Chemistry, 18, 8, 1997.
4. W.J.Pullan, Genetic Operators for the Atomic Cluster Problem, Computer Physics Communications 107, 1997.
5. W.J.Pullan, Structure Prediction of Benzene Clusters Using a Genetic Algorithm, Journal of Chemical Information and Computer Science 37, 6, 1997.
6. W.J.Pullan, Genetic Operators for a Two-Dimensional Bonded Molecular Model, Computers and Chemistry 22, 4, 1998.
7. W.P.Baritompa, M.Dur, E.Hendrix, L.Noakes, W.J.Pullan, G.R.Wood, Matching stochastic algorithms to objective function landscapes, Journal of Global Optimization. 31 (4) 2005
8. W.J.Pullan, An Unbiased Population Based Search for the Geometry Optimisation of Lennard-Jones Clusters: 2 ? N ? 372, Journal of Computational Chemistry. 26 (9) 2005
9. W.J.Pullan, H.H.Hoos, Dynamic Local Search for the Maximum Clique Problem, Journal of Artificial Intelligence Research. 25, 2006
10. W.J.Pullan, Phased Local Search for the Maximum Clique Problem, Journal of Combinatorial Optimization. Vol. 12, No. 3 2006
11. A.Grosso, M.Locatelli, W.J.Pullan, Randomness, plateau search, penalties, restart rules: simple ingredients leading to very efficient heuristics for the Maximum Clique Problem, Journal of Heuristics. On-line, 2007
12. W.J.Pullan, Approximating the maximum vertex/edge weighted clique using local search, Journal of Heuristics. Vol. 14, No. 2: 117-134 2008
13. W.J.Pullan, A memetic genetic algorithm for the p-center problem, Evolutionary Computation, Vol. 16, No. 3: 417?436. 2008
14. W.J.Pullan, Optimization of Unweighted / Weighted Maximum Independent Sets and Minimum Vertex Covers, Discrete Optimization. Vol. 6, No. 2: 214-219 May, 2009
15. W.J.Pullan, Franco Mascia, Mauro Brunato, Cooperating Local Search for the Maximum Clique Problem, Journal of Heuristics, Submitted, 2009

Conference Publications

1. W.J.Pullan, D.Oliver, Development of an Undergraduate Software Engineering Degree, SRIG-ET?94, IEEE, University of Otago, Dunedin, New Zealand 1994.
2. G.R.Wood, W.J.Pullan, Global Optimisation Applied to Molecular Architecture, International Workshop on Global Optimization, Italy, 1999.
3. W.J.Pullan, Optimising Multiple Aspects of Network Survivability, IEEE World Congress on Computational Intelligence, Hawaii 2002.
4. J.Thornton, W.J.Pullan, J.Terry, Towards Fewer Parameters for SAT Clause Weighting Algorithms, 15th Australian Joint Conference on Artificial Intelligence 2002.
5. O.Kravchuk, W.J.Pullan, J.Thornton, A.Sattar, An investigation of variable relationships in 3-SAT problems, 15th Australian Joint Conference on Artificial Intelligence 2002.
6. W.J.Pullan, L.Zhao, J.Thornton, Estimating Problem Metrics for SAT Clause Weighting Local Search, 16th Australian Joint Conference on Artificial Intelligence, December 2003.
7. W.J.Pullan, Adapting the Genetic Algorithm to the Travelling Salesman Problem, IEEE Congress on Evolutionary Computation, December 2003.
8. W.J.Pullan, L.Zhao, Resolvent Clause Weighting Local Search, The Seventeenth Canadian Conference on Artificial Intelligence, London, Canada, May, 2004.
9. W.J.Pullan, Protein Structure Alignment Using Maximum Cliques and Local Search, The Twentieth Australian Artificial Intelligence Conference, Gold Coast, Australia, December, 2007.
10. W.J.Pullan, Population based search for the p-median problem, IEEE Congress on Evolutionary Computation, Hong Kong, June 2008
11. W.J.Pullan, A heuristic algorithm for the uncapactitated facility location problem, ACM 2009 World Summit on Genetic and Evolutionary Computation, Shanghai, China, 2009