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张长胜

领域:新一代信息技术产业 学校:东北大学职称:教授

群智能优化、分布式约束推理、机器学习等...

具体了解该专家信息,请致电:027-87555799 邮箱 haizhi@uipplus.com

教育背景

吉林大学 - 计算机科学与技术学院 2006/09 – 2009/06 博士 导师:欧阳丹彤、孙吉贵教授 2003/09 – 2006/06 硕士 导师:孙吉贵教授 1999/09 – 2003/06 学士

工作经历

东北大学 2019/05 – 至今 软件学院 教授,博导 2017/01 – 2019/05 计算机科学与工程学院 教授,博导 2009/07 – 2016/12 计算机科学与工程学院 副教授 2009/10 – 2012/10 信息科学与工程学院 博士后

项目课题经历

主持国家自然科学基金项目2项,博士后特别资助项目及面上项目各1项,宁夏自然科学基金项目1项,博士点新教师基金项目1项,中央高校基本科研业务费项目种子、重点及重大项目共4项;骨干参与“核高基”国家科技重大专项、国家科技支撑计划、国家自然科学基金项目、中央高校基本科研业务费重大项目等多项

论文、成果、著作等

Changsheng Zhang, Jiaxu Ning, Jiaxuan Wu, Bin Zhang,A multi-objective optimization method for service composition problem with sharing property, Swarm and Evolutionary Computation, https://doi.org/10.1016/j.swevo.2019.06.004, 2019. (IP: 6.33) ⦁ Haitong Zhao,Changsheng Zhang*,Jiaxu Ning. A core firework updating information guided dynamic fireworks algorithm for global optimization, Soft Computing, https://doi.org/10.1007/s00500-019-03953-0, 2019. ⦁ Jiaxu Ning, Changsheng Zhang, Bin Zhang*, Peng Wang, Improving the one-position inheritance artificial bee colony algorithm using heuristic search mechanisms, Soft Computing, ⦁ https://doi.org/10.1007/s0⦁ ⦁ 0500-019-03964-x , 2019. ⦁ Haitong Zhao, Changsheng Zhang*, jiaxu Ning, A best firework updating information guided adaptive fireworks algorithm, Neural Computing and Applications, 31(1):79-99, 2019.(IP:4.664) ⦁ Haitong Zhao, Changsheng Zhang*, Jiaxu Ning, Bin Zhang, Peng Sun, Yunfei Feng, A comparative study of the evolutionary many-objective algorithms, Progress in Artificial Intelligence, 8(1):15-43, 2019. ⦁ Jiaxu Ning, Changsheng Zhang, Peng Sun and Yunfei Feng, Comparative Study of Ant Colony Algorithms for Multi-Objective Optimization,Information,10(1):1-19, 2019. ⦁ Peibo Duan,Changsheng Zhang, Bin Zhang, Applying Distributed Constraint Optimization Approach to the User Association Problem in Heterogeneous Networks , IEEE Transactions on Cybernetics, 48(6): 1696 – 1707, 2018. (IP:8.803) ⦁ Haitong Zhao, Changsheng Zhang*, Bin Zhang, Decomposition-Based Sub-Problem Optimal Solution Updating Direction-Guided Evolutionary Many-Objective Algorithm, Information Sciences, 448-449:91-111, 2018.(IP:4.832) ⦁ Jiaxu Ning, Qin Zhang, Changsheng Zhang*, Bin Zhang, A Best Path Updating Information-Guided Ant Colony Optimization Algorithm [J]. Information Sciences, 434: 142-162, 2018. ⦁ Jiaxu Ning, Tingting Liu, Changsheng Zhang*, A food source-updating information-guided artificial bee colony algorithm, Neural Computing and Applications, 30(3):775-787, 2018.(4.213) ⦁ Jiaxu Ning, Bin Zhang, Tingting Liu, Changsheng Zhang*. An archive based artificial bee colony optimization algorithm for multi-objective continuous optimization problem, Neural Computing and Applications, 30(9):2661-2671, 2018. ⦁ Qin Zhang, Changsheng Zhang*, An improved ant colony optimization algorithm with strengthened pheromone updating mechanism for constraint satisfaction problem, Neural Computing and Applications, 30(10):3209-3220, 2018. ⦁ Boxin Guan, Changsheng Zhang, Yuhai Zhao, An Efficient ABC_DE_Based Hybrid Algorithm for Protein–Ligand Dockin,International Journal of Molecular Sciences, 19(4):1-16,2018. ⦁ Ke Ye, Changsheng Zhang*, Ant-colony algorithm with a strengthened negative-feedback mechanism for constraint satisfaction problem, Information Sciences, 406:29-41, 2017. ⦁ Bin Zhang, Tingting Liu, Changsheng Zhang*, Peng Wang, Artificial bee colony algorithm with strategy and parameter adaptation for global optimization, Neural Computing and Applications, 28:349-364,2017. ⦁ Boxin Guan, Changsheng Zhang, Yuhai Zhao, HIGA: A Running History Information Guided Genetic Algorithm for Protein–Ligand Docking, Molecules, 22(12):1-18, 2017. ⦁ Guan Boxin, Zhang Changsheng*, and Ning Jiaxu , Genetic algorithm with a crossover elitist preservation mechanism for protein–ligand docking, AMB Express, 2017, 7:174. ⦁ Guan Boxin, Zhang Changsheng*, and Ning Jiaxu. EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein–Ligand Docking, Journal of Computational Biology. 23(7):585-596, 2016. ⦁ Jiaxu Wu, Changsheng Zhang, Bin Zhang*. A new data-grouping-aware dynamic data placement method that take into account jobs execute frequency for Hadoop, Microprocessors and Microsystems, 47(2016):161-169. ⦁ Jiaxuan Wu, Bin Zhang, Lei Yang, Peng Wang, Changsheng Zhang*,A replicas placement approach of component services for service-based cloud application,Cluster Computing,19(2016):709-721. ⦁ Peng Wang, Changsheng Zhang, Bin Zhang*, et.al. A Dimensional Diversity Based Hybrid Multi-objective Evolutionary Algorithm for Optimization Problem, International Journal of Pattern Recognition and Artificial Intelligence, 30(07):1-18, 2016.

专利、著作版权等

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