A Direct Search Method Applied to a Molecular Structure Problem. - Wayne J. Pullan (Aust. Comput. J., 1996)

Energy minimization of mixed argon-xenon microclusters using a genetic algorithm. - Wayne J. Pullan (J. Comput. Chem., 1997)

Structure Prediction of Benzene Clusters Using a Genetic Algorithm. - Wayne J. Pullan (J. Chem. Inf. Comput. Sci., 1997)

Genetic Operators for a Two-dimensional Bonded Molecular Model. - Wayne J. Pullan (Comput. Chem., 1998)

An Investigation of Variable Relationships in 3-SAT Problems. - Olena Kravchuk; Wayne J. Pullan; John Thornton 001; Abdul Sattar 001 (Australian Joint Conference on Artificial Intelligence, 2002)

Towards Fewer Parameters for SAT Clause Weighting Algorithms. - John Thornton 001; Wayne J. Pullan; Justin Terry (Australian Joint Conference on Artificial Intelligence, 2002)

Optimising multiple aspects of network survivability. - Wayne Pullan (IEEE Congress on Evolutionary Computation, 2002)

Estimating Problem Metrics for SAT Clause Weighting Local Search. - Wayne J. Pullan; Liang Zhao; John Thornton 001 (Australian Conference on Artificial Intelligence, 2003)

Adapting the genetic algorithm to the travelling salesman problem. - Wayne Pullan (IEEE Congress on Evolutionary Computation, 2003)

Resolvent Clause Weighting Local Search. - Wayne J. Pullan; Liang Zhao (Canadian AI, 2004)

An unbiased population-based search for the geometry optimization of Lennard-Jones clusters: 2 leq N leq 372. - Wayne J. Pullan (J. Comput. Chem., 2005)

Matching Stochastic Algorithms to Objective Function Landscapes. - William Baritompa; Mirjam Dür; Eligius M. T. Hendrix; Lyle Noakes; Wayne J. Pullan; Graham R. Wood (J. Glob. Optim., 2005)

Dynamic Local Search for the Maximum Clique Problem. - Wayne J. Pullan; Holger H. Hoos (J. Artif. Intell. Res., 2006)

Phased local search for the maximum clique problem. - Wayne J. Pullan (J. Comb. Optim., 2006)

Protein Structure Alignment Using Maximum Cliques and Local Search. - Wayne J. Pullan (Australian Conference on Artificial Intelligence, 2007)

A population based hybrid metaheuristic for the p-median problem. - Wayne J. Pullan (IEEE Congress on Evolutionary Computation, 2008)

A Memetic Genetic Algorithm for the Vertex p-center Problem. - Wayne J. Pullan (Evol. Comput., 2008)

Simple ingredients leading to very efficient heuristics for the maximum clique problem. - Andrea Grosso; Marco Locatelli 001; Wayne J. Pullan (J. Heuristics, 2008)

Approximating the maximum vertex/edge weighted clique using local search. - Wayne J. Pullan (J. Heuristics, 2008)

A population based hybrid meta-heuristic for the uncapacitated facility location problem. - Wayne J. Pullan (GEC Summit, 2009)

Optimisation of unweighted/weighted maximum independent sets and minimum vertex covers. - Wayne Pullan (Discret. Optim., 2009)

Unbiased geometry optimisation of Morse atomic clusters. - Wayne Pullan (IEEE Congress on Evolutionary Computation, 2010)

Generic Parallel Genetic Algorithm Framework for Protein Optimisation. - Lukas Folkman; Wayne Pullan; Bela Stantic (ICA3PP (2), 2011)

Cooperating local search for the maximum clique problem. - Wayne Pullan; Franco Mascia; Mauro Brunato (J. Heuristics, 2011)

Heuristic identification of critical nodes in sparse real-world graphs. - Wayne J. Pullan (J. Heuristics, 2015)

Fast and accurate non-sequential protein structure alignment using a new asymmetric linear sum assignment heuristic. - Peter Brown; Wayne Pullan; Yuedong Yang; Yaoqi Zhou (Bioinform., 2016)

Construction of optimal constant-dimension subspace codes. - Wayne J. Pullan; Xin-Wen Wu; Zihui Liu (J. Comb. Optim., 2016)

A heuristic for the time constrained asymmetric linear sum assignment problem. - Peter Brown; Yuedong Yang; Yaoqi Zhou; Wayne J. Pullan (J. Comb. Optim., 2017)

Impact of additional hardware resources on a parallel genetic algorithm. - Glen Cancian; Wayne J. Pullan (GECCO Companion, 2020)

Local search for the maximum k-plex problem. - Wayne Pullan (J. Heuristics, 2021)

Graphics processing unit acceleration of the island model genetic algorithm using the CUDA programming platform. - Dylan Matthew Janssen; Wayne Pullan; Alan Wee-Chung Liew (Concurr. Comput. Pract. Exp., 2022)

Evolutionary Computation Visualization: ECvis. - Dylan Matthew Janssen; Wayne Pullan; Alan Wee-Chung Liew (IEEE Access, 2023)

GPU Based Differential Evolution: New Insights and Comparative Study. - Dylan Matthew Janssen; Wayne Pullan; Alan Wee-Chung Liew (CoRR, 2024)