| A heuristic algorithm for solving resource constrained project scheduling problems S Chand, HK Singh, T Ray 2017 IEEE Congress on Evolutionary Computation (CEC), 225-232, 2017 | 18 | 2017 |
| A review of physics simulators for robotic applications J Collins, S Chand, A Vanderkop, D Howard IEEE Access 9, 51416-51431, 2021 | 230 | 2021 |
| Automated Design of Heuristics for the Resource Constrained Project Scheduling Problem S Chand The University of New South Wales Australia, 2018 | 4 | 2018 |
| Cooperative coevolution of feed forward neural networks for financial time series problem S Chand, R Chandra 2014 International Joint Conference on Neural Networks (IJCNN), 202-209, 2014 | 22 | 2014 |
| Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance R Chandra, S Chand Applied Soft Computing 49, 462-473, 2016 | 58 | 2016 |
| Evolutionary algorithms for resource constrained project scheduling problems: Current issues & future directions S Chand 2016 IEEE Region 10 Conference (TENCON), 2202-2204, 2016 | | 2016 |
| Evolutionary many-objective optimization: A quick-start guide S Chand, M Wagner Surveys in Operations Research and Management Science 20 (2), 35-42, 2015 | 174 | 2015 |
| Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions S Chand, H Singh, T Ray Swarm and evolutionary computation 44, 897-912, 2019 | 50 | 2019 |
| Evolving rollout-justification based heuristics for resource constrained project scheduling problems S Chand, H Singh, T Ray Swarm and Evolutionary Computation 50, 100556, 2019 | 16 | 2019 |
| Fast heuristics for the multiple traveling thieves problem S Chand, M Wagner Proceedings of the Genetic and Evolutionary Computation Conference 2016, 293-300, 2016 | 25 | 2016 |
| Finding robust solutions for resource constrained project scheduling problems involving uncertainties S Chand, HK Singh, T Ray 2016 IEEE Congress on Evolutionary Computation (CEC), 225-232, 2016 | 13 | 2016 |
| Genetic Programming With Mixed-Integer Linear Programming-Based Library Search QN Huynh, S Chand, HK Singh, T Ray IEEE Transactions on Evolutionary Computation 22 (5), 733-747, 2018 | 22 | 2018 |
| MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem S Chand, K Rajesh, R Chandra arXiv preprint arXiv:2204.11162, 2022 | 3 | 2022 |
| Multi-level evolution for robotic design S Chand, D Howard Frontiers in Robotics and AI 8, 684304, 2021 | 13 | 2021 |
| Multi-objective cooperative coevolution of neural networks for time series prediction S Chand, R Chandra 2014 International Joint Conference on Neural Networks (IJCNN), 190-197, 2014 | 19 | 2014 |
| Multi-objectiveness in the single-objective traveling thief problem ME Yafrani, S Chand, A Neumann, B Ahiod, M Wagner Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 15 | 2017 |
| On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems S Chand, Q Huynh, H Singh, T Ray, M Wagner Information Sciences 432, 146-163, 2018 | 99 | 2018 |
| Path towards multilevel evolution of robots S Chand, D Howard Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 1 | 2020 |
| Rollout based Heuristics for the Quantum Circuit Compilation Problem S Chand, HK Singh, T Ray, M Ryan 2019 IEEE Congress on Evolutionary Computation (CEC), 974-981, 2019 | 12 | 2019 |
| SMS-based Classroom Assessments at the University of the South Pacific S Chand, RW Finiasi, BN Sharma, AD Jokhan 12th Pacific Science Inter-Congress, 81-85, 2015 | | 2015 |
Dr Hemant Kumar SinghAssociate Professor, University of New South Wales, Canberra, AustraliaVerified email at unsw.edu.au