研究領域
機器學習、智慧型計算;多智慧型體協作與最佳化。
研究方向
致力於人工智慧、大數據分析等領域的問題。課題組主要有以下兩個研究方向:
(1) 智慧型感知
利用視覺、雷射等感測器採集的數據,採用深度學習、視覺測量、圖最佳化等方法,實現環境的語義理解、定位與地圖構建。套用領域包括無人機自主飛行等。
(2)智慧型最佳化與決策
採用群體智慧型、強化學習、深度學習、博弈論等方法,實現動態場景下大規模智慧型體的協作與最佳化。套用領域包括集群協作對抗、網路廣告與game等。
科研項目
先後主持了
國家自然科學基金面上項目、教育部項目以及陝西省自然科學基金項目等多項科研課題。
科研成果
1.Liangjun Ke. A brain storm optimization approach for the cumulative capacitated vehicle routing problem, Memetic Computing, 2018
2.Dongbin Jiao, Liangjun Ke, Weibo Yang, Jing Li:
An Estimation of Distribution Algorithm Based Dynamic Clustering Approach for Wireless Sensor Networks. Wireless Personal Communications 97(3): 4697-4727 (2017)
3.Tianjiao Zhang, Liangjun Ke, Jing Li, Jisheng Li, Jingqi Huang, Zexi Li: Metaheuristics for the tabu clustered traveling salesman problem. Computers & OR 89: 1-12 (2018)
4.Jing Li, Liangjun Ke, Gangqiang Ye, Tianjiao Zhang:
Ant colony optimisation for the routing problem in the constellation network with node satellite constraint. IJBIC 10(4): 267-274 (2017)
5.Liangjun Ke, P Zhai, J Li, F TS Chan, Pareto mimic algorithm: an approach to the team orienteering problem. Omega, 2015.
6.Liangjun Ke, et al., Proportion based robust optimization and team orienteering problem with interval data. European Journal of Operational Research. 2013, 226(1): 19-31.
7.Liangjun Ke, Qingfu Zhang, Roberto Battiti, Hybidization of decomposition and local search for multiobjective optimization. IEEE transactions on Cybernetics, 2014, 44(10): 1808-1820.
8.Liangjun Ke, Qingfu Zhang, Roberto Battiti, Multiobjective combinatorial optimization by using decomposition and ant colony. IEEE transactions on Cybernetics, 2013, 43(6): 1845-1859.
9.Liangjun Ke, Zuren Feng. A two-phase metaheuristic for the cumulative capacitated vehicle routing problem. Computers & Operations Research. 2013, 40(2): 633-638.
10.Liangjun Ke, et al., Cooperating branch-and-price and metaheuristic for the team orienteering problem with time windows, IEEE CEC 2014, Beijing.
主要任職