Philip Hingston

75 papers A* 1A 4B 19C 1Journal 15Unranked 30

Year	Rank	Type	Title / Venue / Authors
2017	J	`jnl`	Stealthy Denial of Service (DoS) attack modelling and detection for HTTP/2 services. J. Netw. Comput. Appl. Erwin Adi, Zubair A. Baig, Philip Hingston
2016	J	`jnl`	Distributed denial-of-service attacks against HTTP/2 services. Clust. Comput. Erwin Adi, Zubair A. Baig, Philip Hingston, Chiou Peng Lam
2016	J	`jnl`	Game level layout generation using evolved cellular automata. Connect. Sci. Andrew Pech, Martin Masek, Chiou Peng Lam, Philip Hingston
2016	—	`conf`	Modeling perceived difficulty in game levels. ACSW Daniel Wheat, Martin Masek, Chiou Peng Lam, Philip Hingston
2016	—	`conf`	Using Isovists to Evolve Terrains with Gameplay Elements. EvoApplications (1) Andrew Pech, Chiou Peng Lam, Philip Hingston, Martin Masek
2015	—	`conf`	A Statistical Rule Learning Approach to Network Intrusion Detection. ICITCS Samaneh Rastegari, Chiou Peng Lam, Philip Hingston
2015	B	`conf`	Dynamic Difficulty Adjustment in 2D Platformers through Agent-Based Procedural Level Generation. SMC Daniel Wheat, Martin Masek, Chiou Peng Lam, Philip Hingston
2015	—	`conf`	Evolving Cellular Automata for Maze Generation. ACALCI Andrew Pech, Philip Hingston, Martin Masek, Chiou Peng Lam
2015	—	`conf`	Evolving Point Packings in the Plane. ACALCI Daniel A. Ashlock, Philip Hingston, Cameron McGuinness
2015	J	`jnl`	Evolving statistical rulesets for network intrusion detection. Appl. Soft Comput. Samaneh Rastegari, Philip Hingston, Chiou Peng Lam
2015	—	`conf`	Low-Rate Denial-of-Service Attacks against HTTP/2 Services. ICITCS Erwin Adi, Zubair A. Baig, Chiou Peng Lam, Philip Hingston
2015	J	`jnl`	Multiple Opponent Optimization of Prisoner's Dilemma Playing Agents. IEEE Trans. Comput. Intell. AI Games Daniel A. Ashlock, Joseph Alexander Brown, Philip Hingston
2014	B	`conf`	∗Tego - A framework for adversarial planning. IEEE Congress on Evolutionary Computation Daniel A. Ashlock, Philip Hingston
2013	—	`ch.`	Artificial and Computational Intelligence for Games on Mobile Platforms. Artificial and Computational Intelligence in Games Clare Bates Congdon, Philip Hingston, Graham Kendall
2013	—	`conf`	Mobile games with intelligence: A killer application? CIG Philip Hingston, Clare Bates Congdon, Graham Kendall
2013	—	`ch.`	Search in Real-Time Video Games. Artificial and Computational Intelligence in 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
2013	—	`conf`	Testing a distributed denial of service defence mechanism using red teaming. CISDA Samaneh Rastegari, Philip Hingston, Chiou Peng Lam, M. Brand
2013	B	`conf`	Usefulness of infeasible solutions in evolutionary search: An empirical and mathematical study. IEEE Congress on Evolutionary Computation Lyndon While, Philip Hingston
2012	—	`conf`	A Multimodal Problem for Competitive Coevolution. Australasian Conference on Artificial Intelligence Philip Hingston, Tirtha R. Ranjeet, Chiou Peng Lam, Martin Masek
2012	—	`book`	Believable Bots Believable Bots Philip Hingston
2012	—	`conf`	Evaluating coevolution on a multimodal problem. GECCO (Companion) Tirtha R. Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek
2012	—	`conf`	Noise tolerance for real-time evolutionary learning of cooperative predator-prey strategies. CIG Mark Wittkamp, Luigi Barone, Philip Hingston, Lyndon While
2012	—	`conf`	Real-time Evolutionary Learning of Cooperative Predator-Prey Strategies. ACSC Mark Wittkamp, Luigi Barone, Philip Hingston, Lyndon While
2012	B	`conf`	Using Monte Carlo Tree Search for replanning in a multistage simultaneous game. IEEE Congress on Evolutionary Computation Daniel Beard, Philip Hingston, Martin Masek
2011	—	`ed.`	2011 IEEE Conference on Computational Intelligence and Games, CIG 2011, Seoul, South Korea, August 31 - September 3, 2011 CIG Sung-Bae Cho, Simon M. Lucas, Philip Hingston
2011	—	`conf`	Analysis of Key Installation Protection using Computerized Red Teaming. ACSC Tirtha R. Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek
2011	J	`jnl`	Engineering Design of Strategies for Winning Iterated Prisoner's Dilemma Competitions. IEEE Trans. Comput. Intell. AI Games Jiawei Li, Philip Hingston, Graham Kendall
2011	—	`conf`	High-dimensional objective-based data farming. CISDA Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Wentong Cai, Philip Hingston, Suiping Zhou
2011	B	`conf`	Red teaming with coevolution. IEEE Congress on Evolutionary Computation Philip Hingston, Mike Preuss
2011	B	`conf`	Studies on Pareto-based multi-objective competitive coevolutionary dynamics. IEEE Congress on Evolutionary Computation Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Wentong Cai, Philip Hingston
2011	—	`conf`	The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem. Australasian Conference on Artificial Intelligence Tirtha R. Ranjeet, Martin Masek, Philip Hingston, Chiou Peng Lam
2010	—	`conf`	A new design for a Turing Test for Bots. CIG Philip Hingston
2010	J	`jnl`	An implementation of a garment-fitting simulation system using laser scanned 3D body data. Comput. Ind. Chang-Suk Cho, Jun-Young Park, Adrian Boeing, Philip Hingston
2010	B	`conf`	Autonomous Bee Colony Optimization for multi-objective function. IEEE Congress on Evolutionary Computation Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Philip Hingston, Wentong Cai, Suiping Zhou, Mahinthan Chandramohan
2010	B	`conf`	Evolving group strategies for IPD. IEEE Congress on Evolutionary Computation Philip Hingston
2010	B	`conf`	RedTNet: A network model for strategy games. IEEE Congress on Evolutionary Computation Philip Hingston, Mike Preuss, Daniel Spierling
2010	—	`conf`	Testing an exergame for effectiveness and attractiveness. ICE-GIC Jeff Sinclair, Philip Hingston, Martin Masek, Kazunori Nosaka
2009	J	`jnl`	2008 IEEE Symposium on Computational Intelligence and Games (CIG 2008) [conference report]. IEEE Comput. Intell. Mag. Philip Hingston, Luigi Barone
2009	J	`jnl`	A Turing Test for Computer Game Bots. IEEE Trans. Comput. Intell. AI Games Philip Hingston
2009	—	`conf`	Iterated Prisoner's Dilemma for species. CIG Philip Hingston
2009	—	`conf`	The 2K BotPrize. CIG Philip Hingston
2009	J	`jnl`	Using a Virtual Body to Aid in Exergaming System Development. IEEE Computer Graphics and Applications Jeff Sinclair, Philip Hingston, Martin Masek, Kazunori Nosaka
2008	B	`conf`	Bots trained to play like a human are more fun. IJCNN Bhuman Soni, Philip Hingston
2008	—	`ed.`	Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2009, Perth, Australia, 15-18 December, 2008 CIG Philip Hingston, Luigi Barone
2008	A	`conf`	Testing parallelization paradigms for MOEAs. GECCO Sadeesha Gamhewa, Philip Hingston
2008	J	`jnl`	The 2007 IEEE CEC simulated car racing competition. Genet. Program. Evolvable Mach. 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
2008	—	`conf`	Using NEAT for continuous adaptation and teamwork formation in Pacman. CIG Mark Wittkamp, Luigi Barone, Philip Hingston
2007	—	`conf`	Considerations for the design of exergames. GRAPHITE Jeff Sinclair, Philip Hingston, Martin Masek
2007	—	`conf`	Evolving Players for an Ancient Game: Hnefatafl. CIG Philip Hingston
2007	B	`conf`	Experiments with Monte Carlo Othello. IEEE Congress on Evolutionary Computation Philip Hingston, Martin Masek
2007	—	`conf`	Use of the WFG Toolkit and PISA for Comparison of MOEAs. MCDM Lucas Bradstreet, Luigi Barone, Lyndon While, Simon Huband, Philip Hingston
2006	J	`jnl`	A faster algorithm for calculating hypervolume. IEEE Trans. Evol. Comput. Lyndon While, Philip Hingston, Luigi Barone, Simon Huband
2006	J	`jnl`	A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans. Evol. Comput. Simon Huband, Philip Hingston, Luigi Barone, Lyndon While
2006	—	`conf`	Economic Optimisation of an Ore Processing Plant with a Constrained Multi-objective Evolutionary Algorithm. Australian Conference on Artificial Intelligence Simon Huband, Lyndon While, David Tuppurainen, Philip Hingston, Luigi Barone, Ted Bearman
2006	B	`conf`	Fixture-scheduling for the Australian Football League using a Multi-Objective Evolutionary Algorithm. IEEE Congress on Evolutionary Computation Luigi Barone, Lyndon While, Paul Hughes, Philip Hingston
2006	A	`conf`	Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation. PPSN Philip Hingston, Luigi Barone, Simon Huband, Lyndon While
2006	—	`conf`	Teaching an Undergraduate AI Course with Games and Simulation. Edutainment Philip Hingston, Barbara Combes, Martin Masek
2005	C	`conf`	A Scalable Multi-objective Test Problem Toolkit. EMO Simon Huband, Luigi Barone, Lyndon While, Philip Hingston
2005	B	`conf`	Designing comminution circuits with a multi-objective evolutionary algorithm. Congress on Evolutionary Computation Simon Huband, Luigi Barone, Philip Hingston, Lyndon While, David Tuppurainen, Richard Bearman
2005	B	`conf`	Enumerating knight's tours using an ant colony algorithm. Congress on Evolutionary Computation Philip Hingston, Graham Kendall
2005	B	`conf`	Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems. Congress on Evolutionary Computation Lyndon While, Lucas Bradstreet, Luigi Barone, Philip Hingston
2004	B	`conf`	An investigation of an evolutionary approach to the opening of Go. IEEE Congress on Evolutionary Computation Graham Kendall, Razali Yaakob, Philip Hingston
2004	—	`conf`	Ant Colonies Discover Knight's Tours. Australian Conference on Artificial Intelligence Philip Hingston, Graham Kendall
2004	A	`conf`	Hawks, Doves and Lifetime Reproductive Success. PPSN Philip Hingston, Luigi Barone
2004	B	`conf`	Learning versus evolution in iterated prisoner's dilemma. IEEE Congress on Evolutionary Computation Philip Hingston, Graham Kendall
2003	—	`conf`	Algorithmic Composition in Contrasting Music Styles. ICMC Tristan McAuley, Philip Hingston
2003	B	`conf`	An evolution strategy with probabilistic mutation for multi-objective optimisation. IEEE Congress on Evolutionary Computation Simon Huband, Philip Hingston, Lyndon While, Luigi Barone
2002	—	`conf`	A Dynamic Communication Algorithm for Digital Halftoning. ACSC Philip Hingston, Ronald Lyndon While
2002	A	`conf`	Designing Crushers With A Multi-objective Evolutionary Algorithm. GECCO Luigi Barone, Lyndon While, Philip Hingston
2002	B	`conf`	Evolving crushers. IEEE Congress on Evolutionary Computation Philip Hingston, Luigi Barone, Lyndon While
2002	—	`conf`	Using Finite State Automata for Sequence Mining. ACSC Philip Hingston
2001	—	`conf`	Inference of Regular Languages using Model Simplicity. ACSC Philip Hingston
1997	J	`jnl`	Discounted Reinforcement Learning Does Not Scale. Comput. Intell. Matthew A. F. McDonald, Philip Hingston
1991	A*	`conf`	Using the Cosine Measure in a Neural Network for Document. SIGIR Ross Wilkinson, Philip Hingston
1990	J	`jnl`	A Distributed Join Algorithm. Inf. Process. Lett. Philip Hingston, Ross Wilkinson