Huang, L. Feng*, A. K. Qin, M. Chen, and K. C. Tan, "Towards Large-Scale Evolutionary Multi-Tasking: A GPU-Based Paradigm", IEEE Transactions on Evolutionary Computation, In press, 2021.
L. Zhou, L. Feng*, A. Gupta, and Y. S. Ong, “Learnable Evolutionary Search across Heterogeneous Problems via Kernelized Autoencoding”, IEEE Transactions on Evolutionary Computation, 25(3), 567-581, 2021.
K. C. Tan, L. Feng* and M. Jiang, "Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research," IEEE Computational Intelligence Magazine, vol. 16, no. 1, pp. 22-33, Feb. 2021
L. Feng*, Y. Huang, I. Tsang, A. Gupta, K. Tang, K. C. Tan and Y. S. Ong, "Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation," IEEE Transactions on Intelligent Transportation Systems, In Press, 2021.
L. Feng*, Y. Huang, L. Zhou, J. Zhong, A. Gupta, K. Tang, and K. C. Tan, “Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem”, IEEE Transactions on Cybernetics, 51(6), 3143-3156, 2020.
L. Feng*, W. Zhou, W. Liu, Y. -S. Ong and K. C. Tan, "Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search," IEEE Transactions on Cybernetics, In press, 2020.
L. Feng*, L. Zhou, A. Gupta, J. Zhong, Z. Zhu, K. C. Tan and K. Qin, "Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking,", IEEE Transactions on Cybernetics, In press, 2019.
L. Feng*, L. Zhou, J. Zhong, A. Gupta, Y. S. Ong and K. C. Tan, "Evolutionary Multitasking via Explicit Autoencoding,", IEEE Transactions on Cybernetics, Vol. 49, No. 9, pp. 3457-3470, 2019.
L. Feng*, Y. S. Ong, S. Jiang and A. Gupta, "Autoencoding Evolutionary Search with Learning across Heterogeneous Problems", IEEE Transactions on Evolutionary Computation, Vol. 21, No. 5, pp. 760 - 772, 2017.
L. Feng*, Y.-S. Ong, M.-H. Lim, and Ivor W. Tsang. "Memetic Search with Inter-Domain Learning: A Realization between CVRP and CARP", IEEE Transactions on Evolutionary Computation, Vol. 19, No. 5, pp. 644-658, 2015.
L. Zhou, L. Feng*, K. C. Tan and J. Zhong, Z. Zhu, K. Liu and C. Chen, “Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation”, IEEE Transactions on Cybernetics, In press, 2020.
Y. Hou, Y. S. Ong, L. Feng* and J. M. Zurada, "An Evolutionary Transfer Reinforcement Learning Framework for Multi-Agent System", IEEE Transactions on Evolutionary Computation, Vol. 21, No. 4, pp. 601-615, 2017, 2017.
J. Zhong, L. Feng*, W. Cai , and Y. S. Ong, "Multifactorial Genetic Programming for Symbolic Regression Problems", IEEE Transactions on Systems, Man, and Cybernetics: System, In press, 2018
J. Zhong, L. Feng*, and Y. S. Ong, "Gene Expression Programming: A Survey", IEEE Computational Intelligence Magazine, 12(3), 54-72, 2017
A. Gupta, Y.-S. Ong and L. Feng, "Multifactorial Evolution: Towards Evolutionary Multitasking", IEEE Transactions on Evolutionary Computation, Vol. 20, No. 3, pp. 343-357, 2016. (获得2019该期刊Outstanding Paper Award)
J. Liu, Y. Cao, Y. Xue, D. Li, L. Feng*, & Y. F. Chen, Automatic unit layout of masonry structure using memetic algorithm and building information modeling. Automation in Construction, 130, 103858, 2021
J. Liu, P. Liu, L. Feng*, W. Wu, D. Li, & Y. F. Chen, Automated clash resolution for reinforcement steel design in concrete frames via Q-learning and Building Information Modeling. Automation in Construction, 112, 103062, 2020
A. Gupta, Y. Ong and L. Feng, "Insights on Transfer Optimization: Because Experience is the Best Teacher," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, no. 1, pp. 51-64, Feb. 2018
A. Gupta, Y. Ong, L. Feng and K. C. Tan, "Multiobjective Multifactorial Optimization in Evolutionary Multitasking," IEEE Transactions on Cybernetics, vol. 47, no. 7, pp. 1652-1665, July 2017
X. Xue, K. Zhang, K. C. Tan, L. Feng, J. Wang, et al. Affine transformation-enhanced multifactorial optimization for heterogeneous problems. IEEE Transactions on Cybernetics, In press, 2020