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Hussein A. Abbass
Hussein A. Abbass
Fellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South Wales
Verified email at adfa.edu.au - Homepage
Title
Cited by
Cited by
Year
PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems
HA Abbass, R Sarker, C Newton
Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No …, 2001
7332001
The self-adaptive pareto differential evolution algorithm
HA Abbass
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002
5702002
MBO: Marriage in honey bees optimization-A haplometrosis polygynous swarming approach
HA Abbass
Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No …, 2001
5592001
An evolutionary artificial neural networks approach for breast cancer diagnosis
HA Abbass
Artificial intelligence in Medicine 25 (3), 265-281, 2002
5392002
Classification rule discovery with ant colony optimization
B Liu, HA Abbas, B McKay
IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT …, 2003
2792003
The Pareto differential evolution algorithm
HA Abbass, R Sarker
International Journal on Artificial Intelligence Tools 11 (04), 531-552, 2002
2402002
Speeding up backpropagation using multiobjective evolutionary algorithms
HA Abbass
Neural Computation 15 (11), 2705-2726, 2003
1892003
Multiobjective optimization for dynamic environments
LT Bui, HA Abbass, J Branke
2005 IEEE Congress on Evolutionary Computation 3, 2349-2356, 2005
1812005
A memetic pareto evolutionary approach to artificial neural networks
HA Abbass
Australian Joint Conference on Artificial Intelligence, 1-12, 2001
1812001
Pareto neuro-evolution: Constructing ensemble of neural networks using multi-objective optimization
HA Abbass
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 2074-2080, 2003
1492003
Data Mining: A Heuristic Approach: A Heuristic Approach
HA Abbass, R Sarker, CS Newton
IGI global, 2001
1452001
A monogenous MBO approach to satisfiability
HA Abbass
Proceeding of the international conference on computational intelligence for …, 2001
1292001
Density-based heuristic for rule discovery with ant-miner
B Liu, HA Abbass, B McKay
The 6th Australia-Japan joint workshop on intelligent and evolutionary …, 2002
1282002
Neural-based learning classifier systems
HH Dam, HA Abbass, C Lokan, X Yao
IEEE Transactions on Knowledge and Data Engineering 20 (1), 26-39, 2007
1192007
Grammar model-based program evolution
Y Shan, RI McKay, R Baxter, H Abbass, D Essam, HX Nguyen
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
1072004
Adaptive cross-generation differential evolution operators for multiobjective optimization
X Qiu, JX Xu, KC Tan, HA Abbass
IEEE Transactions on Evolutionary Computation 20 (2), 232-244, 2015
1002015
Fitness inheritance for noisy evolutionary multi-objective optimization
LT Bui, HA Abbass, D Essam
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
992005
Hierarchical deep reinforcement learning for continuous action control
Z Yang, K Merrick, L Jin, HA Abbass
IEEE transactions on neural networks and learning systems 29 (11), 5174-5184, 2018
972018
Identification of ADS-B system vulnerabilities and threats
L Purton, H Abbass, S Alam
Australian Transport Research Forum, Canberra, 1-16, 2010
952010
An adaptive genetic-based signature learning system for intrusion detection
K Shafi, HA Abbass
Expert Systems with Applications 36 (10), 12036-12043, 2009
882009
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