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2010 – 2019
- 2017
[j15]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: 1-13 (2017)- 2016
- [j14]Erwin Adi, Zubair A. Baig, Philip Hingston, Chiou Peng Lam:
Distributed denial-of-service attacks against HTTP/2 services. Clust. Comput. 19(1): 79-86 (2016) - [j13]Andrew Pech, Martin Masek, Chiou Peng Lam, Philip Hingston:
Game level layout generation using evolved cellular automata. Connect. Sci. 28(1): 63-82 (2016) - [c55]Daniel Wheat, Martin Masek, Chiou Peng Lam, Philip Hingston:
Modeling perceived difficulty in game levels. ACSW 2016: 74 - [c54]Andrew Pech, Chiou Peng Lam, Philip Hingston, Martin Masek:
Using Isovists to Evolve Terrains with Gameplay Elements. EvoApplications (1) 2016: 636-652 - 2015
- [j12]Samaneh Rastegari, Philip Hingston, Chiou Peng Lam:
Evolving statistical rulesets for network intrusion detection. Appl. Soft Comput. 33: 348-359 (2015) - [j11]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): 53-65 (2015) - [c53]Andrew Pech, Philip Hingston, Martin Masek, Chiou Peng Lam:
Evolving Cellular Automata for Maze Generation. ACALCI 2015: 112-124 - [c52]Daniel A. Ashlock, Philip Hingston, Cameron McGuinness:
Evolving Point Packings in the Plane. ACALCI 2015: 297-309 - [c51]Erwin Adi, Zubair A. Baig, Chiou Peng Lam, Philip Hingston:
Low-Rate Denial-of-Service Attacks against HTTP/2 Services. ICITCS 2015: 1-5 - [c50]Samaneh Rastegari, Chiou Peng Lam, Philip Hingston:
A Statistical Rule Learning Approach to Network Intrusion Detection. ICITCS 2015: 1-5 - [c49]Daniel Wheat, Martin Masek, Chiou Peng Lam, Philip Hingston:
Dynamic Difficulty Adjustment in 2D Platformers through Agent-Based Procedural Level Generation. SMC 2015: 2778-2785 - 2014
- [c48]Daniel A. Ashlock, Philip Hingston:
∗Tego - A framework for adversarial planning. IEEE Congress on Evolutionary Computation 2014: 13-20 - 2013
- [c47]Lyndon While, Philip Hingston:
Usefulness of infeasible solutions in evolutionary search: An empirical and mathematical study. IEEE Congress on Evolutionary Computation 2013: 1363-1370 - [c46]Philip Hingston, Clare Bates Congdon, Graham Kendall:
Mobile games with intelligence: A killer application? CIG 2013: 1-7 - [c45]Samaneh Rastegari, Philip Hingston, Chiou Peng Lam, M. Brand:
Testing a distributed denial of service defence mechanism using red teaming. CISDA 2013: 23-29 - [p2]Peter I. Cowling, Michael Buro, Michal Bída, Adi Botea, Bruno Bouzy, Martin V. Butz, Philip Hingston, Hector Muñoz-Avila, Dana S. Nau, Moshe Sipper:
Search in Real-Time Video Games. Artificial and Computational Intelligence in Games 2013: 1-19 - [p1]Clare Bates Congdon, Philip Hingston, Graham Kendall:
Artificial and Computational Intelligence for Games on Mobile Platforms. Artificial and Computational Intelligence in Games 2013: 101-108 - 2012
- [c44]Mark Wittkamp, Luigi Barone, Philip Hingston, Lyndon While:
Real-time Evolutionary Learning of Cooperative Predator-Prey Strategies. ACSC 2012: 81-90 - [c43]Philip Hingston, Tirtha R. Ranjeet, Chiou Peng Lam, Martin Masek:
A Multimodal Problem for Competitive Coevolution. Australasian Conference on Artificial Intelligence 2012: 338-349 - [c42]Daniel Beard, Philip Hingston, Martin Masek:
Using Monte Carlo Tree Search for replanning in a multistage simultaneous game. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c41]Mark Wittkamp, Luigi Barone, Philip Hingston, Lyndon While:
Noise tolerance for real-time evolutionary learning of cooperative predator-prey strategies. CIG 2012: 25-32 - [c40]Tirtha R. Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek:
Evaluating coevolution on a multimodal problem. GECCO (Companion) 2012: 1469-1470 - [e3]Philip Hingston:
Believable Bots. Springer 2012, ISBN 978-3-642-32322-5 [contents] - 2011
- [j10]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): 348-360 (2011) - [c39]Tirtha R. Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek:
Analysis of Key Installation Protection using Computerized Red Teaming. ACSC 2011: 137-144 - [c38]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: 331-340 - [c37]Philip Hingston, Mike Preuss:
Red teaming with coevolution. IEEE Congress on Evolutionary Computation 2011: 1155-1163 - [c36]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: 2383-2390 - [c35]Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Wentong Cai, Philip Hingston, Suiping Zhou:
High-dimensional objective-based data farming. CISDA 2011: 80-87 - [e2]Sung-Bae Cho, Simon M. Lucas, Philip Hingston:
2011 IEEE Conference on Computational Intelligence and Games, CIG 2011, Seoul, South Korea, August 31 - September 3, 2011. IEEE 2011, ISBN 978-1-4577-0010-1 [contents] - 2010
- [j9]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): 550-558 (2010) - [c34]Philip Hingston:
Evolving group strategies for IPD. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c33]Philip Hingston, Mike Preuss, Daniel Spierling:
RedTNet: A network model for strategy games. IEEE Congress on Evolutionary Computation 2010: 1-9 - [c32]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: 1-8 - [c31]Philip Hingston:
A new design for a Turing Test for Bots. CIG 2010: 345-350 - [c30]Jeff Sinclair, Philip Hingston, Martin Masek, Kazunori Nosaka:
Testing an exergame for effectiveness and attractiveness. ICE-GIC 2010: 188-195
2000 – 2009
- 2009
- [j8]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): 39-48 (2009) - [j7]Philip Hingston, Luigi Barone:
2008 IEEE Symposium on Computational Intelligence and Games (CIG 2008) [conference report]. IEEE Comput. Intell. Mag. 4(3): 8-9 (2009) - [j6]Philip Hingston:
A Turing Test for Computer Game Bots. IEEE Trans. Comput. Intell. AI Games 1(3): 169-186 (2009) - [c29]Philip Hingston:
The 2K BotPrize. CIG 2009 - [c28]Philip Hingston:
Iterated Prisoner's Dilemma for species. CIG 2009: 17-24 - 2008
- [j5]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): 295-329 (2008) - [c27]Mark Wittkamp, Luigi Barone, Philip Hingston:
Using NEAT for continuous adaptation and teamwork formation in Pacman. CIG 2008: 234-242 - [c26]Sadeesha Gamhewa, Philip Hingston:
Testing parallelization paradigms for MOEAs. GECCO 2008: 755-756 - [c25]Bhuman Soni, Philip Hingston:
Bots trained to play like a human are more fun. IJCNN 2008: 363-369 - [e1]Philip Hingston, Luigi Barone:
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2009, Perth, Australia, 15-18 December, 2008. IEEE 2008, ISBN 978-1-4244-2973-8 [contents] - 2007
- [c24]Philip Hingston, Martin Masek:
Experiments with Monte Carlo Othello. IEEE Congress on Evolutionary Computation 2007: 4059-4064 - [c23]Philip Hingston:
Evolving Players for an Ancient Game: Hnefatafl. CIG 2007: 168-174 - [c22]Lucas Bradstreet, Luigi Barone, Lyndon While, Simon Huband, Philip Hingston:
Use of the WFG Toolkit and PISA for Comparison of MOEAs. MCDM 2007: 382-389 - [c21]Jeff Sinclair, Philip Hingston, Martin Masek:
Considerations for the design of exergames. GRAPHITE 2007: 289-295 - 2006
- [j4]Lyndon While, Philip Hingston, Luigi Barone, Simon Huband:
A faster algorithm for calculating hypervolume. IEEE Trans. Evol. Comput. 10(1): 29-38 (2006) - [j3]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): 477-506 (2006) - [c20]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: 962-969 - [c19]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: 954-961 - [c18]Philip Hingston, Barbara Combes, Martin Masek:
Teaching an Undergraduate AI Course with Games and Simulation. Edutainment 2006: 494-506 - [c17]Philip Hingston, Luigi Barone, Simon Huband, Lyndon While:
Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation. PPSN 2006: 563-572 - 2005
- [c16]Philip Hingston, Graham Kendall:
Enumerating knight's tours using an ant colony algorithm. Congress on Evolutionary Computation 2005: 1003-1010 - [c15]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: 1815-1822 - [c14]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: 2225-2232 - [c13]Simon Huband, Luigi Barone, Lyndon While, Philip Hingston:
A Scalable Multi-objective Test Problem Toolkit. EMO 2005: 280-295 - 2004
- [c12]Philip Hingston, Graham Kendall:
Ant Colonies Discover Knight's Tours. Australian Conference on Artificial Intelligence 2004: 1213-1218 - [c11]Philip Hingston, Graham Kendall:
Learning versus evolution in iterated prisoner's dilemma. IEEE Congress on Evolutionary Computation 2004: 364-372 - [c10]Graham Kendall, Razali Yaakob, Philip Hingston:
An investigation of an evolutionary approach to the opening of Go. IEEE Congress on Evolutionary Computation 2004: 2052-2059 - [c9]Philip Hingston, Luigi Barone:
Hawks, Doves and Lifetime Reproductive Success. PPSN 2004: 862-871 - 2003
- [c8]Simon Huband, Philip Hingston, Lyndon While, Luigi Barone:
An evolution strategy with probabilistic mutation for multi-objective optimisation. IEEE Congress on Evolutionary Computation 2003: 2284-2291 - [c7]Tristan McAuley, Philip Hingston:
Algorithmic Composition in Contrasting Music Styles. ICMC 2003 - 2002
- [c6]Philip Hingston:
Using Finite State Automata for Sequence Mining. ACSC 2002: 105-110 - [c5]Philip Hingston, Ronald Lyndon While:
A Dynamic Communication Algorithm for Digital Halftoning. ACSC 2002: 111-118 - [c4]Philip Hingston, Luigi Barone, Lyndon While:
Evolving crushers. IEEE Congress on Evolutionary Computation 2002: 1109-1114 - [c3]Luigi Barone, Lyndon While, Philip Hingston:
Designing Crushers With A Multi-objective Evolutionary Algorithm. GECCO 2002: 995-1002 - 2001
- [c2]Philip Hingston:
Inference of Regular Languages using Model Simplicity. ACSC 2001: 69-76
1990 – 1999
- 1997
- [j2]Matthew A. F. McDonald, Philip Hingston:
Discounted Reinforcement Learning Does Not Scale. Comput. Intell. 13(1): 126-143 (1997) - 1991
- [c1]Ross Wilkinson, Philip Hingston:
Using the Cosine Measure in a Neural Network for Document. SIGIR 1991: 202-210 - 1990
- [j1]Philip Hingston, Ross Wilkinson:
A Distributed Join Algorithm. Inf. Process. Lett. 33(6): 313-317 (1990)
Coauthor Index
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