|
-
智能计算、大数据挖掘与优化、智能建造、智能多任务优化、机器学习、多智能体系统等
- 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.
- 暂无内容
- L. Feng, A. Gupta, K. C. Tan, and Y. S. Ong. Evolutionary Multi-Task Optimization: Foundations and Methodologies. Springer Nature, 2023..2023
- L. Feng, Y. Hou, Z. Zhu (2021) Optinformatics Across Heterogeneous Problem Domains and Solvers. In: Optinformatics in Evolutionary Learning and Optimization. Adaptation, Learning, and Optimization, vol 25. Springer, Cham..2023
- 周绪红、刘界鹏、冯亮等，建筑智能建造技术初探及其应用，中国建筑工业出版社，2021.2023