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Philip Hingston
Philip Hingston
A/Professor of Computer Science, Edith Cowan University
Verified email at philiphingston.com
Title
Cited by
Cited by
Year
A review of multiobjective test problems and a scalable test problem toolkit
S Huband, P Hingston, L Barone, L While
IEEE Transactions on Evolutionary Computation 10 (5), 477-506, 2006
21422006
A faster algorithm for calculating hypervolume
L While, P Hingston, L Barone, S Huband
IEEE transactions on evolutionary computation 10 (1), 29-38, 2006
10532006
Considerations for the design of exergames
J Sinclair, P Hingston, M Masek
Proceedings of the 5th international conference on Computer graphics and …, 2007
6132007
A scalable multi-objective test problem toolkit
S Huband, L Barone, L While, P Hingston
Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005
5002005
A turing test for computer game bots
P Hingston
IEEE Transactions on Computational Intelligence and AI in Games 1 (3), 169-186, 2009
2162009
Using the cosine measure in a neural network for document retrieval
R Wilkinson, P Hingston
Proceedings of the 14th annual international ACM SIGIR conference on …, 1991
2061991
An evolution strategy with probabilistic mutation for multi-objective optimisation
S Huband, P Hingston, L While, L Barone
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 4, 2284-2291, 2003
1322003
Exergame development using the dual flow model
J Sinclair, P Hingston, M Masek
Proceedings of the Sixth Australasian Conference on Interactive …, 2009
1212009
A new design for a turing test for bots
P Hingston
Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010
1142010
Bots trained to play like a human are more fun
B Soni, P Hingston
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
1122008
Evolving statistical rulesets for network intrusion detection
S Rastegari, P Hingston, CP Lam
Applied soft computing 33, 348-359, 2015
892015
Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems
L While, L Bradstreet, L Barone, P Hingston
2005 IEEE Congress on Evolutionary Computation 3, 2225-2232, 2005
892005
Design by evolution: Advances in evolutionary design
PF Hingston, LC Barone, Z Michalewicz
Springer Science & Business Media, 2008
832008
Believable bots
P Hingston
Believable Bots, 2012
642012
Stealthy Denial of Service (DoS) attack modelling and detection for HTTP/2 services
E Adi, Z Baig, P Hingston
Journal of Network and Computer Applications 91, 1-13, 2017
542017
Engineering design of strategies for winning iterated prisoner's dilemma competitions
J Li, P Hingston, G Kendall
IEEE Transactions on Computational Intelligence and AI in Games 3 (4), 348-360, 2011
542011
Learning versus evolution in iterated prisoner's dilemma
P Hingston, G Kendall
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
522004
The 2007 ieee cec simulated car racing competition
J Togelius, S Lucas, HD Thang, JM Garibaldi, T Nakashima, CH Tan, ...
Genetic Programming and Evolvable Machines 9, 295-329, 2008
502008
Using finite state automata for sequence mining
P Hingston
ACSC, 105-110, 2002
442002
An implementation of a garment-fitting simulation system using laser scanned 3D body data
CS Cho, JY Park, A Boeing, P Hingston
Computers in Industry 61 (6), 550-558, 2010
412010
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