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馮亮

（重慶大學計算機學院博士生導師）

鎖定
馮亮，男，重慶大學“百人計劃”研究員、博士生導師、重慶市高層次引進人才，新加坡南洋理工大學博士。先後在南洋理工智能計算實驗中心，多平台遊戲創新中心，以及新加坡A*Star南洋理工聯合複雜系統實驗室從事研究工作。
研究方向包括（但不侷限於）智能計算，大數據挖掘與優化，機器學習，以及多智能體系統等。相關研究成果先後發表於IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Intelligent System, World Congress on Computational Intelligence等國際主流期刊及會議。獲得IEEE Congress on Evolutionary Computation 2012 最佳學生論文提名，IEEE Transactions on Evolutionary Computation 2019傑出論文獎。受邀為多個國際期刊會議審稿人，包括：IEEE TEVC, IEEE TNNLS, IEEE TSMC, ECJ, IJSS, Applied Soft Computing, Soft Computing, Memetic Computing, CEC, GECCO等。擔任IEEE Transactions on Emerging Topics in Computational Intelligence、IEEE Computational Intelligence Magazine、Memetic Computing Journal、Cognitive Computing Journal副主編。 獲得2015 IEEE Transactions on Cybernetics Outstanding Reviewer。IEEE智能計算協會Task force on transfer learning and transfer optimization 創辦主席。 [1] 
中文名
馮亮
畢業院校
新加坡南洋理工大學
學位/學歷
博士
專業方向
智能計算，大數據挖掘與優化，多任務優化等
任職院校
重慶大學

目錄

  1. 1 研究方向
  2. 2 學術成果
  3. ▪ 代表性論文
  4. ▪ 部分科研項目
  5. ▪ 專著
  6. 3 社會兼職

馮亮研究方向

智能計算，大數據挖掘與優化，多任務優化，機器學習，多智能體系統等 [1] 

馮亮學術成果

馮亮代表性論文

  1. 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.
  2. 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.
  3. 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
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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
  14. J. Zhong, L. Feng*, and Y. S. Ong, "Gene Expression Programming: A Survey", IEEE Computational Intelligence Magazine, 12(3), 54-72, 2017
  15. 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. (獲得2019該期刊Outstanding Paper Award)
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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 [1] 

馮亮部分科研項目

  1. 國家軍委科技委，創新特區項目，xxxxxx，（負責）
  2. 國家自然科學基金面上基金信息科學部資助項目: 基於遷移學習的智能多任務高性能優化算法研究。（負責）
  3. 國家自然科學青年基金信息科學部資助項目：基於遷移學習和模因計算的智能交通路徑規劃研究。(負責)
  4. 重慶市科技計劃項目基礎科學與前沿技術研究專項資助項目：基於數據挖掘和模式識別的智能交通路徑規劃研究。（負責）
  5. 重慶大學中央高校基本科研業務費專項資助項目: 面向智慧城市物流的智能路徑優化算法研究。（負責）
  6. 重慶市人社局留創項目資助：進化多任務智能優化算法研究。（負責）
  7. 重慶大學學科交叉項目：建築業大數據與人工智能。（次負責） [1] 

馮亮專著

  1. 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.
  2. 周緒紅、劉界鵬、馮亮等，建築智能建造技術初探及其應用，中國建築工業出版社，2021 [1] 

馮亮社會兼職

電機電子工程師學會通信協會（IEEE）以及IEEE計算智能協會成員
中國計算機協會會員；中國計算機協會智能仿真優化與調度專委會委員
IEEE CIS Task Force on "Transfer Learning & Transfer Optimization",主席
擔任SCI期刊Memetic Computing Journal及Cognitive Computing Journal副主編
擔任2016，2017，2018及2019多個國際智能計算大會（IEEE CEC）專題主席；擔任2017，2018及2019國際智能計算大會（IEEE CEC）多任務優化競賽主席
擔任多個國際會議如AAAI、IJCAI、IEEE CEC、ACM GECCO，等評議委員會委員；擔任多個國際頂級期刊如IEEE TEVC，IEEE Cybernetics、MIT ECJ、IEEE TNNLS等評審。 [1] 
參考資料