| 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 | 785 | 2001 |
| 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 | 609 | 2001 |
| The self-adaptive pareto differential evolution algorithm HA Abbass Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 581 | 2002 |
| An evolutionary artificial neural networks approach for breast cancer diagnosis HA Abbass Artificial intelligence in Medicine 25 (3), 265-281, 2002 | 579 | 2002 |
| Classification rule discovery with ant colony optimization B Liu, HA Abbas, B McKay IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT …, 2003 | 293 | 2003 |
| The Pareto differential evolution algorithm HA Abbass, R Sarker International Journal on Artificial Intelligence Tools 11 (04), 531-552, 2002 | 246 | 2002 |
| Speeding up backpropagation using multiobjective evolutionary algorithms HA Abbass Neural Computation 15 (11), 2705-2726, 2003 | 198 | 2003 |
| A memetic pareto evolutionary approach to artificial neural networks HA Abbass AI 2001: Advances in Artificial Intelligence: 14th Australian Joint …, 2001 | 191 | 2001 |
| Multiobjective optimization for dynamic environments LT Bui, HA Abbass, J Branke 2005 IEEE Congress on Evolutionary Computation 3, 2349-2356, 2005 | 189 | 2005 |
| Data Mining: A Heuristic Approach: A Heuristic Approach HA Abbass, R Sarker, CS Newton IGI global, 2001 | 161 | 2001 |
| 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 | 156 | 2003 |
| 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 | 139 | 2018 |
| A monogenous MBO approach to satisfiability HA Abbass Proceeding of the international conference on computational intelligence for …, 2001 | 136 | 2001 |
| 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 | 135 | 2007 |
| 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 | 134 | 2002 |
| Social integration of artificial intelligence: functions, automation allocation logic and human-autonomy trust HA Abbass Cognitive Computation 11 (2), 159-171, 2019 | 126 | 2019 |
| 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 | 113 | 2015 |
| 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 | 113 | 2004 |
| Identification of ADS-B system vulnerabilities and threats L Purton, H Abbass, S Alam Australian Transport Research Forum, Canberra, 1-16, 2010 | 102 | 2010 |
| 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 | 102 | 2005 |
