Evolutionary multitasking for single-objective continuous optimization: Benchmark problems, performance metric, and baseline results B Da, YS Ong, L Feng, AK Qin, A Gupta, Z Zhu, CK Ting, K Tang, X Yao arXiv preprint arXiv:1706.03470, 2017 | 228 | 2017 |
An empirical study of multifactorial PSO and multifactorial DE L Feng, W Zhou, L Zhou, SW Jiang, JH Zhong, BS Da, ZX Zhu, Y Wang 2017 IEEE Congress on evolutionary computation (CEC), 921-928, 2017 | 175 | 2017 |
Curbing negative influences online for seamless transfer evolutionary optimization B Da, A Gupta, YS Ong IEEE transactions on cybernetics 49 (12), 4365-4378, 2018 | 114 | 2018 |
Evolutionary multitasking for multiobjective continuous optimization: Benchmark problems, performance metrics and baseline results Y Yuan, YS Ong, L Feng, AK Qin, A Gupta, B Da, Q Zhang, KC Tan, Y Jin, ... arXiv preprint arXiv:1706.02766, 2017 | 114 | 2017 |
A novel distribution-embedded neural network for sensor-based activity recognition H Qian, SJ Pan, B Da, C Miao | 70 | 2019 |
Landscape synergy in evolutionary multitasking A Gupta, YS Ong, B Da, L Feng, SD Handoko 2016 IEEE Congress on Evolutionary Computation (CEC), 3076-3083, 2016 | 63 | 2016 |
Evolutionary multitasking across single and multi-objective formulations for improved problem solving B Da, A Gupta, YS Ong, L Feng 2016 IEEE Congress on Evolutionary Computation (CEC), 1695-1701, 2016 | 56 | 2016 |
A study of similarity measure between tasks for multifactorial evolutionary algorithm L Zhou, L Feng, J Zhong, Z Zhu, B Da, Z Wu Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 52 | 2018 |
Fast transfer Gaussian process regression with large-scale sources B Da, YS Ong, A Gupta, L Feng, H Liu Knowledge-Based Systems 165, 208-218, 2019 | 29 | 2019 |
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking B Da, A Gupta, YS Ong, L Feng Artificial Life and Computational Intelligence: Second Australasian …, 2016 | 19 | 2016 |
Measuring complementarity between function landscapes in evolutionary multitasking A Gupta, Y Ong, B Da, L Feng, S Handoko 2016 IEEE Congress on Evolutionary Computation, accepted, 2016 | 19 | 2016 |
On the emerging notion of evolutionary multitasking: A computational analog of cognitive multitasking A Gupta, B Da, Y Yuan, YS Ong Recent Advances in Evolutionary Multi-objective Optimization, 139-157, 2017 | 14 | 2017 |
Evolutionary multitasking for single-objective continuous optimization: Benchmark problems B Da, YS Ong, L Feng, AK Qin, A Gupta, Z Zhu, CK Ting, K Tang, X Yao Perform. Metric, Baseline Results, 1-11, 2017 | 13 | 2017 |
Methods in multi-source data-driven transfer optimization B Da Nanyang Technological University, 2019 | 3 | 2019 |
Application of route flexibility in data-starved vehicle routing problem with time windows CK Heng, QC Nguyen, S Jiang, PS Tan, A Gupta, B Da, YS Ong 2016 IEEE Congress on Evolutionary Computation (CEC), 799-805, 2016 | 3 | 2016 |
Evolutionary multitasking across multi and single-objective formulations for improved problem solving B Da, A Gupta, YS Ong, L Feng, C Wang Proceedings of IEEE Congress on Evolutionary Computation (CEC2016 …, 2016 | 2 | 2016 |
Path determination under stochastic travel times using target-oriented robust optimization C Wang, B Da 2015 IEEE International Conference on Smart City/SocialCom/SustainCom …, 2015 | 2 | 2015 |
Exploiting local inter-task relationships in adaptive multi-task learning B Da, C Wang, YS Ong, A Gupta US Patent 11,727,301, 2023 | | 2023 |