Scientific Research projects Projects: 1.2013/05-2014/12,PI,Research on collaborative filtering recommendation system in big data environment, China Postdoctoral Science Foundation Grant 2.2017/06-2018/05,PI,Research on the key issues of bicycle sharing parking location and optimization model, Shanghai Soft Science Research Key Project 3.2018/03-2019/02,PI,Research on Innovation of Shared Bicycle Rebalancing Model and Optimization measures, Shanghai Soft Science Research Key Project 4.2019/07-2022/06,PI,Key Problems and Optimization Measures of Shanghai's Household Waste Separation and Transportation under Intelligent Dispatch, Shanghai Philosophy and Social Science Planning Project 5.2022/01-2024/12,PI,Research on the realization mode and optimization countermeasures of intelligent dispatching of emergency materials, Ministry of Education Humanities and social sciences research Youth Fund Project 6. 2016/07-2019/12, member, Research on the Multi-objective Nonlinear Location-Allocation for Emergency System, Ministry of Education’s Fund for Humanities and Social Sciences of China 7. 2009/01-2011/12, member, Research on the Quantum Growing Ant Colony Competitive Optimization Algorithm and Its Applications, the National Natural Science Foundation of China 8.2005/01 - 2007/12,member, Research on the Competitive Multi-objective Cellular Ant Algorithm, the National Natural Science Foundation of China
Recent Papers: 1.Liu Yong, Ma Liang, Zhang Huizhen, Wei Xin. Intelligent Optimization Algorithms. Shanghai People's Publishing House 2. Ma Liang, Zhang Huizhen, Liu Yong. Optimization Methods of Location-Allocation for Emergency System. Science Press, 2019. 3. Liu Yong, Tian Peng. A multi-start central force optimization for global optimization[J]. Applied Soft Computing, 2015, 27: 92-98.( SCI Zone II) 4.Liu Yong, Ma Liang. Cellular particle swarm optimization algorithm and its application to multidimensional knapsack problem. Journal of Management Science in China, 2011,14(1):86-96.(CSSCI) 5. Liu Yong, Ma Liang. Solving Permutation Flow-Shop Scheduling Problem by Central Force Optimization Algorithm. Operations Research and Management Science, 2017, 26(9): 46-51. (CSSCI)
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