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淮北师范大学计算机科学与技术学院导师教师师资介绍简介-陈得宝

本站小编 Free考研考试/2021-05-01

陈得宝,男,博士,教授,硕士生导师.2008年毕业于南京理工大学计算机科学与工程学院模式识别与智能系统专业,获工学博士学位。主要研究兴趣:智能优化及应用、动态多目标优化等.现已公开发表论文80余篇,其中被SCI收录40余篇。曾主持安徽省自然科学基金项目2项,安徽省高等学校自然科学研究项目3项,其中重大项目1项,主持安徽省高校优秀青年人才项目2项。目前在研国家自然科学基金项目2项。获安徽省教学成果奖1项(排名第一)。先后获“安徽省高等学校‘十五’优秀人才计划”第二批(安徽省高校优秀中青年骨干教师)、安徽省教坛新秀、安徽省优秀教师、安徽省教学名师等称号。
近年发表的主要论文:
[1] Debao Chen(陈得宝), Feng Zou*(邹锋), Renquan Lu(鲁仁全), Suwen Li(李素文). Backtracking search optimization algorithm based on knowledge learning, Information Sciences, 2019,473:202–226
[2] Debao Chen, Renquan Lu, Suwen Li*, Feng Zou, Yajun Liu. An enhanced colliding bodies
optimization and its application, Artificial Intelligence Review, 2019,doi.org/10.1007/s10462-019-09691-x
[3] Feng Zou?, Debao Chen , Qingzheng Xu. A survey of teaching-learning-based optimization, Neurocomputing, 2019, 335(C), 366-383
[4] Debao Chen, Feng Zou*, Renquan Lu, Xude Wang. A hybrid fuzzy inference prediction strategy for dynamic multi-objective optimization, Swarm and Evolutionary Computation, 2018, 43: 147-165
[5] Feng Zou, Debao Chen?, Renquan Lu. Hybrid hierarchical backtracking search optimization algorithm and its application, Arab Journal for Science and Engineering, 2018,43: 993–1014
[6] Feng Zou?, Debao Chen, Renquan Lu, Suwen Li, Lehui Wu. Teaching–learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling, Soft Computing, 2018,22:7177–7205
[7] Debao Chen?, Feng Zou, Renquan Lu?, Peng Wang. Learning backtracking search optimisation algorithm and its application, Information Sciences, 2017,376 :71–94
[8] Debao Chen, Renquan Lu?, Feng Zou, Suwen Li, Peng Wang. A learning and niching based backtracking search optimization algorithm and its applications in global optimisation and ANN training, Neurocomputing, 2017,266 :579–594
[9] Feng Zou, Debao Chen?, RenquanLu, Peng Wang. Hierarchical multi-swarm cooperative teaching–learning-based optimization for global optimization, Soft Computing, 2017,21: 6983–7004
[10] Feng Zou, Debao Chen?, Suwen Li, Renquan Lu, Muyi Lin. Community detection in complex networks: Multi-objective discrete backtracking search optimization algorithm with decomposition, Applied Soft Computing, 2017,53 : 285–295
[11] Debao Chen, Feng Zou?, Renquan Lu, Lei Yu, Zheng Li, Jiangtao Wang. Multi-objective optimization of community detection using discrete teaching–learning-based optimization with decomposition, Information Sciences, 2016,369:402–418
[12] Debao Chen, Renquan Lu?, Feng Zou, Suwen Li. Teaching-learning-based optimization with
variable-population scheme and its application for ANN and global optimization, Neurocomputing, 2016,173:1096–1111
[13] Debao Chen, Feng Zou?, Jiangtao Wang, Wujie Yuan. SAMCCTLBO: a multi-class cooperative
teaching–learning-based optimization algorithm with simulated annealing, Soft Computing, 2016,20:1921–1943
[14] Zhuo Wang?, Renquan Lu, Debao Chen, Feng Zou. An experience information teaching–learning-based optimization for global optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016,46 :1202-1214.



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