A Distributed Join Algorithm. - Philip Hingston; Ross Wilkinson (Inf. Process. Lett., 1990)

Using the Cosine Measure in a Neural Network for Document. - Ross Wilkinson; Philip Hingston (SIGIR, 1991)

Discounted Reinforcement Learning Does Not Scale. - Matthew A. F. McDonald; Philip Hingston (Comput. Intell., 1997)

Inference of Regular Languages using Model Simplicity. - Philip Hingston (ACSC, 2001)

Using Finite State Automata for Sequence Mining. - Philip Hingston (ACSC, 2002)

A Dynamic Communication Algorithm for Digital Halftoning. - Philip Hingston; Ronald Lyndon While (ACSC, 2002)

Evolving crushers. - Philip Hingston; Luigi Barone; Lyndon While (IEEE Congress on Evolutionary Computation, 2002)

Designing Crushers With A Multi-objective Evolutionary Algorithm. - Luigi Barone; Lyndon While; Philip Hingston (GECCO, 2002)

An evolution strategy with probabilistic mutation for multi-objective optimisation. - Simon Huband; Philip Hingston; Lyndon While; Luigi Barone (IEEE Congress on Evolutionary Computation, 2003)

Algorithmic Composition in Contrasting Music Styles. - Tristan McAuley; Philip Hingston (ICMC, 2003)

Ant Colonies Discover Knight's Tours. - Philip Hingston; Graham Kendall (Australian Conference on Artificial Intelligence, 2004)

Learning versus evolution in iterated prisoner's dilemma. - Philip Hingston; Graham Kendall (IEEE Congress on Evolutionary Computation, 2004)

An investigation of an evolutionary approach to the opening of Go. - Graham Kendall; Razali Yaakob; Philip Hingston (IEEE Congress on Evolutionary Computation, 2004)

Hawks, Doves and Lifetime Reproductive Success. - Philip Hingston; Luigi Barone (PPSN, 2004)

Enumerating knight's tours using an ant colony algorithm. - Philip Hingston; Graham Kendall (Congress on Evolutionary Computation, 2005)

Designing comminution circuits with a multi-objective evolutionary algorithm. - Simon Huband; Luigi Barone; Philip Hingston; Lyndon While; David Tuppurainen; Richard Bearman (Congress on Evolutionary Computation, 2005)

Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems. - Lyndon While; Lucas Bradstreet; Luigi Barone; Philip Hingston (Congress on Evolutionary Computation, 2005)

A Scalable Multi-objective Test Problem Toolkit. - Simon Huband; Luigi Barone; Lyndon While; Philip Hingston (EMO, 2005)

Economic Optimisation of an Ore Processing Plant with a Constrained Multi-objective Evolutionary Algorithm. - Simon Huband; Lyndon While; David Tuppurainen; Philip Hingston; Luigi Barone; Ted Bearman (Australian Conference on Artificial Intelligence, 2006)

Fixture-scheduling for the Australian Football League using a Multi-Objective Evolutionary Algorithm. - Luigi Barone; Lyndon While; Paul Hughes; Philip Hingston (IEEE Congress on Evolutionary Computation, 2006)

Teaching an Undergraduate AI Course with Games and Simulation. - Philip Hingston; Barbara Combes; Martin Masek (Edutainment, 2006)

Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation. - Philip Hingston; Luigi Barone; Simon Huband; Lyndon While (PPSN, 2006)

A review of multiobjective test problems and a scalable test problem toolkit. - Simon Huband; Philip Hingston; Luigi Barone; Lyndon While (IEEE Trans. Evol. Comput., 2006)

A faster algorithm for calculating hypervolume. - Lyndon While; Philip Hingston; Luigi Barone; Simon Huband (IEEE Trans. Evol. Comput., 2006)

Experiments with Monte Carlo Othello. - Philip Hingston; Martin Masek (IEEE Congress on Evolutionary Computation, 2007)

Evolving Players for an Ancient Game: Hnefatafl. - Philip Hingston (CIG, 2007)

Use of the WFG Toolkit and PISA for Comparison of MOEAs. - Lucas Bradstreet; Luigi Barone; Lyndon While; Simon Huband; Philip Hingston (MCDM, 2007)

Considerations for the design of exergames. - Jeff Sinclair; Philip Hingston; Martin Masek (GRAPHITE, 2007)

Using NEAT for continuous adaptation and teamwork formation in Pacman. - Mark Wittkamp; Luigi Barone; Philip Hingston (CIG, 2008)

Testing parallelization paradigms for MOEAs. - Sadeesha Gamhewa; Philip Hingston (GECCO, 2008)

Bots trained to play like a human are more fun. - Bhuman Soni; Philip Hingston (IJCNN, 2008)

The 2007 IEEE CEC simulated car racing competition. - Julian Togelius; Simon M. Lucas; Ho Duc Thang; Jonathan M. Garibaldi; Tomoharu Nakashima; Chin Hiong Tan; Itamar Elhanany; Shay Berant; Philip Hingston; Robert M. MacCallum; Thomas Haferlach; Aravind Gowrisankar; et al. (Genet. Program. Evolvable Mach., 2008)

The 2K BotPrize. - Philip Hingston (CIG, 2009)

Iterated Prisoner's Dilemma for species. - Philip Hingston (CIG, 2009)

Using a Virtual Body to Aid in Exergaming System Development. - Jeff Sinclair; Philip Hingston; Martin Masek; Kazunori Nosaka (IEEE Computer Graphics and Applications, 2009)

2008 IEEE Symposium on Computational Intelligence and Games (CIG 2008) [conference report]. - Philip Hingston; Luigi Barone (IEEE Comput. Intell. Mag., 2009)

A Turing Test for Computer Game Bots. - Philip Hingston (IEEE Trans. Comput. Intell. AI Games, 2009)

Evolving group strategies for IPD. - Philip Hingston (IEEE Congress on Evolutionary Computation, 2010)

RedTNet: A network model for strategy games. - Philip Hingston; Mike Preuss; Daniel Spierling (IEEE Congress on Evolutionary Computation, 2010)

Autonomous Bee Colony Optimization for multi-objective function. - Fanchao Zeng; James Decraene; Malcolm Yoke Hean Low; Philip Hingston; Wentong Cai 001; Suiping Zhou; Mahinthan Chandramohan (IEEE Congress on Evolutionary Computation, 2010)

A new design for a Turing Test for Bots. - Philip Hingston (CIG, 2010)

Testing an exergame for effectiveness and attractiveness. - Jeff Sinclair; Philip Hingston; Martin Masek; Kazunori Nosaka (ICE-GIC, 2010)

An implementation of a garment-fitting simulation system using laser scanned 3D body data. - Chang-Suk Cho; Jun-Young Park; Adrian Boeing; Philip Hingston (Comput. Ind., 2010)

Analysis of Key Installation Protection using Computerized Red Teaming. - Tirtha R. Ranjeet; Philip Hingston; Chiou Peng Lam; Martin Masek (ACSC, 2011)

The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem. - Tirtha R. Ranjeet; Martin Masek; Philip Hingston; Chiou Peng Lam (Australasian Conference on Artificial Intelligence, 2011)

Red teaming with coevolution. - Philip Hingston; Mike Preuss (IEEE Congress on Evolutionary Computation, 2011)

Studies on Pareto-based multi-objective competitive coevolutionary dynamics. - Fanchao Zeng; James Decraene; Malcolm Yoke Hean Low; Wentong Cai 001; Philip Hingston (IEEE Congress on Evolutionary Computation, 2011)

High-dimensional objective-based data farming. - Fanchao Zeng; James Decraene; Malcolm Yoke Hean Low; Wentong Cai 001; Philip Hingston; Suiping Zhou (CISDA, 2011)

Engineering Design of Strategies for Winning Iterated Prisoner's Dilemma Competitions. - Jiawei Li 001; Philip Hingston; Graham Kendall (IEEE Trans. Comput. Intell. AI Games, 2011)

Real-time Evolutionary Learning of Cooperative Predator-Prey Strategies. - Mark Wittkamp; Luigi Barone; Philip Hingston; Lyndon While (ACSC, 2012)

A Multimodal Problem for Competitive Coevolution. - Philip Hingston; Tirtha R. Ranjeet; Chiou Peng Lam; Martin Masek (Australasian Conference on Artificial Intelligence, 2012)

Using Monte Carlo Tree Search for replanning in a multistage simultaneous game. - Daniel Beard; Philip Hingston; Martin Masek (IEEE Congress on Evolutionary Computation, 2012)

Noise tolerance for real-time evolutionary learning of cooperative predator-prey strategies. - Mark Wittkamp; Luigi Barone; Philip Hingston; Lyndon While (CIG, 2012)

Evaluating coevolution on a multimodal problem. - Tirtha R. Ranjeet; Philip Hingston; Chiou Peng Lam; Martin Masek (GECCO (Companion), 2012)

Usefulness of infeasible solutions in evolutionary search: An empirical and mathematical study. - Lyndon While; Philip Hingston (IEEE Congress on Evolutionary Computation, 2013)

Mobile games with intelligence: A killer application? - Philip Hingston; Clare Bates Congdon; Graham Kendall (CIG, 2013)

Testing a distributed denial of service defence mechanism using red teaming. - Samaneh Rastegari; Philip Hingston; Chiou Peng Lam; M. Brand (CISDA, 2013)

Artificial and Computational Intelligence for Games on Mobile Platforms. - Clare Bates Congdon; Philip Hingston; Graham Kendall (Artificial and Computational Intelligence in Games, 2013)

Search in Real-Time Video Games. - Peter I. Cowling; Michael Buro; Michal Bída; Adi Botea; Bruno Bouzy; Martin V. Butz; Philip Hingston; Hector Muñoz-Avila; Dana S. Nau; Moshe Sipper (Artificial and Computational Intelligence in Games, 2013)

∗Tego - A framework for adversarial planning. - Daniel A. Ashlock; Philip Hingston (IEEE Congress on Evolutionary Computation, 2014)

Evolving Point Packings in the Plane. - Daniel A. Ashlock; Philip Hingston; Cameron McGuinness (ACALCI, 2015)

Evolving Cellular Automata for Maze Generation. - Andrew Pech; Philip Hingston; Martin Masek; Chiou Peng Lam (ACALCI, 2015)

Low-Rate Denial-of-Service Attacks against HTTP/2 Services. - Erwin Adi; Zubair A. Baig; Chiou Peng Lam; Philip Hingston (ICITCS, 2015)

A Statistical Rule Learning Approach to Network Intrusion Detection. - Samaneh Rastegari; Chiou Peng Lam; Philip Hingston (ICITCS, 2015)

Dynamic Difficulty Adjustment in 2D Platformers through Agent-Based Procedural Level Generation. - Daniel Wheat; Martin Masek; Chiou Peng Lam; Philip Hingston (SMC, 2015)

Evolving statistical rulesets for network intrusion detection. - Samaneh Rastegari; Philip Hingston; Chiou Peng Lam (Appl. Soft Comput., 2015)

Multiple Opponent Optimization of Prisoner's Dilemma Playing Agents. - Daniel A. Ashlock; Joseph Alexander Brown; Philip Hingston (IEEE Trans. Comput. Intell. AI Games, 2015)

Modeling perceived difficulty in game levels. - Daniel Wheat; Martin Masek; Chiou Peng Lam; Philip Hingston (ACSW, 2016)

Using Isovists to Evolve Terrains with Gameplay Elements. - Andrew Pech; Chiou Peng Lam; Philip Hingston; Martin Masek (EvoApplications (1), 2016)

Distributed denial-of-service attacks against HTTP/2 services. - Erwin Adi; Zubair A. Baig; Philip Hingston; Chiou Peng Lam (Clust. Comput., 2016)

Game level layout generation using evolved cellular automata. - Andrew Pech; Martin Masek; Chiou Peng Lam; Philip Hingston (Connect. Sci., 2016)

Stealthy Denial of Service (DoS) attack modelling and detection for HTTP/2 services. - Erwin Adi; Zubair A. Baig; Philip Hingston (J. Netw. Comput. Appl., 2017)