Philip Hingston

Publication Activity (10 Years)

Years Active: 1990-2017
Publications (10 Years): 5

Top Topics

Network Intrusion

Monte Carlo Tree Search

Evolutionary Search

Top Venues

IEEE Congress on Evolutionary Computation

Publications

Erwin Adi, Zubair A. Baig, Philip Hingston
Stealthy Denial of Service (DoS) attack modelling and detection for HTTP/2 services. J. Netw. Comput. Appl. 91 (2017)
Andrew Pech, Chiou-Peng Lam, Philip Hingston, Martin Masek
Using Isovists to Evolve Terrains with Gameplay Elements. EvoApplications (1) (2016)
Daniel Wheat, Martin Masek, Chiou-Peng Lam, Philip Hingston
Modeling perceived difficulty in game levels. ACSW (2016)
Erwin Adi, Zubair A. Baig, Philip Hingston, Chiou-Peng Lam
Distributed denial-of-service attacks against HTTP/2 services. Clust. Comput. 19 (1) (2016)
Andrew Pech, Martin Masek, Chiou-Peng Lam, Philip Hingston
Game level layout generation using evolved cellular automata. Connect. Sci. 28 (1) (2016)
Daniel A. Ashlock, Joseph Alexander Brown, Philip Hingston
Multiple Opponent Optimization of Prisoner's Dilemma Playing Agents. IEEE Trans. Comput. Intell. AI Games 7 (1) (2015)
Daniel Wheat, Martin Masek, Chiou-Peng Lam, Philip Hingston
Dynamic Difficulty Adjustment in 2D Platformers through Agent-Based Procedural Level Generation. SMC (2015)
Andrew Pech, Philip Hingston, Martin Masek, Chiou-Peng Lam
Evolving Cellular Automata for Maze Generation. ACALCI (2015)
Samaneh Rastegari, Chiou-Peng Lam, Philip Hingston
A Statistical Rule Learning Approach to Network Intrusion Detection. ICITCS (2015)
Samaneh Rastegari, Philip Hingston, Chiou-Peng Lam
Evolving statistical rulesets for network intrusion detection. Appl. Soft Comput. 33 (2015)
Daniel A. Ashlock, Philip Hingston, Cameron McGuinness
Evolving Point Packings in the Plane. ACALCI (2015)
Erwin Adi, Zubair A. Baig, Chiou-Peng Lam, Philip Hingston
Low-Rate Denial-of-Service Attacks against HTTP/2 Services. ICITCS (2015)
Daniel A. Ashlock, Philip Hingston
∗Tego - A framework for adversarial planning. IEEE Congress on Evolutionary Computation (2014)
Philip Hingston, Clare Bates Congdon, Graham Kendall
Mobile games with intelligence: A killer application? CIG (2013)
Lyndon While, Philip Hingston
Usefulness of infeasible solutions in evolutionary search: An empirical and mathematical study. IEEE Congress on Evolutionary Computation (2013)
Samaneh Rastegari, Philip Hingston, Chiou-Peng Lam, M. Brand
Testing a distributed denial of service defence mechanism using red teaming. CISDA (2013)
Mark Wittkamp, Luigi Barone, Philip Hingston, Lyndon While
Real-time Evolutionary Learning of Cooperative Predator-Prey Strategies. ACSC (2012)
Philip Hingston, Tirtha R. Ranjeet, Chiou-Peng Lam, Martin Masek
A Multimodal Problem for Competitive Coevolution. Australasian Conference on Artificial Intelligence (2012)
Daniel Beard, Philip Hingston, Martin Masek
Using Monte Carlo Tree Search for replanning in a multistage simultaneous game. IEEE Congress on Evolutionary Computation (2012)
Mark Wittkamp, Luigi Barone, Philip Hingston, Lyndon While
Noise tolerance for real-time evolutionary learning of cooperative predator-prey strategies. CIG (2012)
Tirtha R. Ranjeet, Philip Hingston, Chiou-Peng Lam, Martin Masek
Evaluating coevolution on a multimodal problem. GECCO (Companion) (2012)
Jiawei Li, Philip Hingston, Graham Kendall
Engineering Design of Strategies for Winning Iterated Prisoner's Dilemma Competitions. IEEE Trans. Comput. Intell. AI Games 3 (4) (2011)
Tirtha R. Ranjeet, Philip Hingston, Chiou-Peng Lam, Martin Masek
Analysis of Key Installation Protection using Computerized Red Teaming. ACSC (2011)
Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Wentong Cai, Philip Hingston
Studies on Pareto-based multi-objective competitive coevolutionary dynamics. IEEE Congress on Evolutionary Computation (2011)
Philip Hingston, Mike Preuss
Red teaming with coevolution. IEEE Congress on Evolutionary Computation (2011)
Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Wentong Cai, Philip Hingston, Suiping Zhou
High-dimensional objective-based data farming. CISDA (2011)
Tirtha R. Ranjeet, Martin Masek, Philip Hingston, Chiou-Peng Lam
The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem. Australasian Conference on Artificial Intelligence (2011)
Jeff Sinclair, Philip Hingston, Martin Masek, Kazunori Nosaka
Testing an exergame for effectiveness and attractiveness. ICE-GIC (2010)
Philip Hingston, Mike Preuss, Daniel Spierling
RedTNet: A network model for strategy games. IEEE Congress on Evolutionary Computation (2010)
Chang-Suk Cho, Jun-Young Park, Adrian Boeing, Philip Hingston
An implementation of a garment-fitting simulation system using laser scanned 3D body data. Comput. Ind. 61 (6) (2010)
Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Philip Hingston, Wentong Cai, Suiping Zhou, Mahinthan Chandramohan
Autonomous Bee Colony Optimization for multi-objective function. IEEE Congress on Evolutionary Computation (2010)
Philip Hingston
A new design for a Turing Test for Bots. CIG (2010)
Philip Hingston
Evolving group strategies for IPD. IEEE Congress on Evolutionary Computation (2010)
Philip Hingston
The 2K BotPrize. CIG (2009)
Philip Hingston
A Turing Test for Computer Game Bots. IEEE Trans. Comput. Intell. AI Games 1 (3) (2009)
Philip Hingston
Iterated Prisoner's Dilemma for species. CIG (2009)
Philip Hingston, Luigi Barone
2008 IEEE Symposium on Computational Intelligence and Games (CIG 2008) [conference report]. IEEE Comput. Intell. Mag. 4 (3) (2009)
Jeff Sinclair, Philip Hingston, Martin Masek, Kazunori Nosaka
Using a Virtual Body to Aid in Exergaming System Development. IEEE Computer Graphics and Applications 29 (2) (2009)
Sadeesha Gamhewa, Philip Hingston
Testing parallelization paradigms for MOEAs. GECCO (2008)
Bhuman Soni, Philip Hingston
Bots trained to play like a human are more fun. IJCNN (2008)
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, Peter Burrow
The 2007 IEEE CEC simulated car racing competition. Genet. Program. Evolvable Mach. 9 (4) (2008)
Mark Wittkamp, Luigi Barone, Philip Hingston
Using NEAT for continuous adaptation and teamwork formation in Pacman. CIG (2008)
Jeff Sinclair, Philip Hingston, Martin Masek
Considerations for the design of exergames. GRAPHITE (2007)
Philip Hingston
Evolving Players for an Ancient Game: Hnefatafl. CIG (2007)
Philip Hingston, Martin Masek
Experiments with Monte Carlo Othello. IEEE Congress on Evolutionary Computation (2007)
Lucas Bradstreet, Luigi Barone, Lyndon While, Simon Huband, Philip Hingston
Use of the WFG Toolkit and PISA for Comparison of MOEAs. MCDM (2007)
Philip Hingston, Luigi Barone, Simon Huband, Lyndon While
Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation. PPSN (2006)
Simon Huband, Philip Hingston, Luigi Barone, Lyndon While
A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans. Evol. Comput. 10 (5) (2006)
Luigi Barone, Lyndon While, Paul Hughes, Philip Hingston
Fixture-scheduling for the Australian Football League using a Multi-Objective Evolutionary Algorithm. IEEE Congress on Evolutionary Computation (2006)
Philip Hingston, Barbara Combes, Martin Masek
Teaching an Undergraduate AI Course with Games and Simulation. Edutainment (2006)
Lyndon While, Philip Hingston, Luigi Barone, Simon Huband
A faster algorithm for calculating hypervolume. IEEE Trans. Evol. Comput. 10 (1) (2006)
Simon Huband, Lyndon While, David Tuppurainen, Philip Hingston, Luigi Barone, Ted Bearman
Economic Optimisation of an Ore Processing Plant with a Constrained Multi-objective Evolutionary Algorithm. Australian Conference on Artificial Intelligence (2006)
Philip Hingston, Graham Kendall
Enumerating knight's tours using an ant colony algorithm. Congress on Evolutionary Computation (2005)
Simon Huband, Luigi Barone, Philip Hingston, Lyndon While, David Tuppurainen, Richard Bearman
Designing comminution circuits with a multi-objective evolutionary algorithm. Congress on Evolutionary Computation (2005)
Simon Huband, Luigi Barone, Lyndon While, Philip Hingston
A Scalable Multi-objective Test Problem Toolkit. EMO (2005)
Lyndon While, Lucas Bradstreet, Luigi Barone, Philip Hingston
Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems. Congress on Evolutionary Computation (2005)
Philip Hingston, Graham Kendall
Ant Colonies Discover Knight's Tours. Australian Conference on Artificial Intelligence (2004)
Philip Hingston, Graham Kendall
Learning versus evolution in iterated prisoner's dilemma. IEEE Congress on Evolutionary Computation (2004)
Graham Kendall, Razali Yaakob, Philip Hingston
An investigation of an evolutionary approach to the opening of Go. IEEE Congress on Evolutionary Computation (2004)
Philip Hingston, Luigi Barone
Hawks, Doves and Lifetime Reproductive Success. PPSN (2004)
Tristan McAuley, Philip Hingston
Algorithmic Composition in Contrasting Music Styles. ICMC (2003)
Simon Huband, Philip Hingston, Lyndon While, Luigi Barone
An evolution strategy with probabilistic mutation for multi-objective optimisation. IEEE Congress on Evolutionary Computation (2003)
Philip Hingston, Luigi Barone, Lyndon While
Evolving crushers. IEEE Congress on Evolutionary Computation (2002)
Luigi Barone, Lyndon While, Philip Hingston
Designing Crushers With A Multi-objective Evolutionary Algorithm. GECCO (2002)
Philip Hingston, Ronald Lyndon While
A Dynamic Communication Algorithm for Digital Halftoning. ACSC (2002)
Philip Hingston
Using Finite State Automata for Sequence Mining. ACSC (2002)
Philip Hingston
Inference of Regular Languages using Model Simplicity. ACSC (2001)
Matthew A. F. McDonald, Philip Hingston
Discounted Reinforcement Learning Does Not Scale. Comput. Intell. 13 (1) (1997)
Ross Wilkinson, Philip Hingston
Using the Cosine Measure in a Neural Network for Document. SIGIR (1991)
Philip Hingston, Ross Wilkinson
A Distributed Join Algorithm. Inf. Process. Lett. 33 (6) (1990)