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Philip Hingston
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2010 – 2019
- 2017
- [j15]Erwin Adi
, Zubair A. Baig
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
Distributed denial-of-service attacks against HTTP/2 services. Clust. Comput. 19(1): 79-86 (2016) - [j13]Andrew Pech, Martin Masek
Game level layout generation using evolved cellular automata. Connect. Sci. 28(1): 63-82 (2016) - [c55]Daniel Wheat, Martin Masek
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
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
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
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
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
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
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
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
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
Testing an exergame for effectiveness and attractiveness. ICE-GIC 2010: 188-195
2000 – 2009
- 2009
- [j8]Jeff Sinclair, Philip Hingston, Martin Masek
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
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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