胡中波

教授

通讯/办公地址:8教409

邮箱:huzbdd@126.com

个人简介

    胡中波,博士,教授(三级)。主要从事智能计算、数据挖掘与统计计算研究。2013年在英国ESSEX大学数学科学学院做访问学者。主持教育部教研项目1项、省部级以上科研项目6项,以第一作者(或者通讯作者)公开发表SCI收录论文40余篇,其中包含《Swarm and evolutionary computation》、《Energy》、《Information Sciences》《Expert systems with applications》《Applied soft computing》等中国科学院文献情报中心认定的顶级期刊上论文23篇;另外,发表SSCI收录论文1篇,中文核心期刊14篇;在科学出版社出版学术专著1部,授权中国发明专利7项。

基本信息

  • 所在单位:信息与数学学院
  • 学历:博士研究生毕业
  • 性别:男
  • 学位:博士
  • 职称:教授
  • 毕业院校:武汉理工大学

研究方向

学术研究

1 承担的学术研究课题

[1]基于灰色关联模型的古生物多样性统计方法研究,生物地质与环境地质国家重点实验室,开放基金,GBL21801,2018~2021, 主持人

[2]高新技术企业税收减免对政府税收的影响研究——以荆州市为例,湖北省科技厅创新科研项目,2018ADC068,2018~2020,主持人

[3]氯盐渍土环境中硅烷浸渍混凝土的数据挖掘与寿命预测,硅酸盐建筑材料国家重点实验室开放基金,SYSJJ2018-21,2018~2020,主持人

[4]白云深水地区渗透率评价方法研究—1(软件开发),中海石油深圳开发有限公司(横向项目),CCL2016SKPS0053,2016~2017,主持人

[5]依概率收敛差分演化算法的设计与理论分析,湖北省教育厅重点科研项目,D20161306,2016~2017,主持人

[6]差分演化算法的收敛理论与算法设计,教育部中央高校基本科研业务费专项资金资助,教育部专项基金,2012~2014,主持人

[7]差分演化算法研究及其应用,湖北省教育厅优秀中青年科研项目,2007~2008,主持人


2 近几年代表性学术论文(“*”标识通讯作者)

  • 2024年度

[47] Zhongbo Hu*, Qian Zhang, Yujie Wang, Qinghua Su, Zenggang Xiong. Research orientation and novelty discriminant for new metaheuristic algorithms. Applied Soft Computing, 2024, 157, 111521. (SCI IF: 8.7 TOP期刊)

[46] Xupeng Wang, Zhongbo Hu*, Lingyi Shi, Caocheng Cai, Qinghua Su. Multi-task modeling and multifactorial optimization for path coverage problem of automated test case generation. Applied Soft Computing, 2024, 154, 111407. (SCI IF: 8.7 TOP期刊)

[45] Yaqian Zhan, Zhongbo Hu*, Jisheng Kou, Qinghua Su. An initial value insensitive method for phase equilibrium calculation: constrained backtracking search optimization algorithm. Physics of Fluids. Accept. (SCI IF: 4.6 TOP期刊)

[44] Huimin Zhu, Lingyi Shi, Zhongbo Hu*, Qinghua Su. A multi-surrogate multi-tasking genetic algorithm with an adaptive training sample selection strategy for expensive optimization problems. Engineering Applications of Artificial Intelligence. 2024, 130, 107684. (SCI IF: 8.0 TOP期刊)

[43]苏清华,洪楠,胡中波*.不动点演化算法,西南交通大学学报,接受已在线发表.(中文核心)

[42]胡中波,代灿云,高 聪,李 政,徐新林.一种解决环境经济调度问题的多目标灰色预测演化方法与系统(ZL202010550313X),授权板凳日:2024.3.

[41]胡中波,周 婷,刘 笛,蔡高成.一种基于灰色预测演化算法的多模态多目标优化方法,中国发明专利(ZL202010252488.2),授权办凳日期:2024.01.

  • 2023年度

[40] Wenli, Qinghua Su*, Zhongbo Hu. A grey prediction evolutionary algorithm with a surrogate model based on quadratic interpolation. Expert Systems with Applications. 2024, 236, 121261. (SCI IF: 8.5 TOP期刊)

[39] Xiyang Xiang, Qinghua Su*, Zhongbo Hu. Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique. Swarm and Evolutionary Computation. 2023, 10.1016/j.swevo.2023.101276. (SCI IF: 10.267 TOP期刊)

[38] Ting Zhou, Zhongbo Hu*, Qinghua Su, Wentao Xiong. A clustering differential evolution algorithm with neighborhood-based dual mutation operator for multimodel multiobjective optimization. Expert Systems with Applications. 2023, 216, 119438. (SCI IF: 8.5 TOP期刊)

[37] Wangyu Tong, Di Liu, Zhongbo Hu*, Qinghua Su. Hybridizing genetic algorithm with grey prediction evolution algorithm for solving unit commitment problem. 2023, Applied Intelligence, 10.1007/s10639-022-11077-6. (SCI IF: 5.019)

[36]胡中波*,王旭鹏.求解测试用例自动生成问题的多因子回溯优化算法,计算机应用,2023, 43(4): 1214-1219.(中文核心)

  • 2022年度

[35] Di Liu, Zhongbo Hu*, Qinghua Su. Neighborhood-based differential evolution algorithm with direction induced strategy for the large-scale combined heat and power ecenomic dispatch problem. Information Sciences. 613(2022)469-493. (SCI IF: 8.233 TOP期刊)

[34] Zhongbo Hu*, Ting Zhou, Qinghua Su, Mianfang Liu. A niching backtracking search algorithm with adaptive local search for multimodal multiobjective optimization, Swarm and Evolutionary Computation, 2022, 69,101031. (SCI IF: 10.267 TOP期刊)

[33] Zhongbo Hu*, Canyun Dai, Qinghua Su. Adaptive backtracking search optimization algorithm with a dual learning strategy for dynamic economic dispatch with valve-point effects, Energy, 2022, 248, 123558. (SCI IF: 8.857 TOP期刊)

[32] Wangyu Tong, Youxue Wang, Qinghua Su, Zhongbo Hu*. Digital twin campus with a novel double-layer collaborative filtering recommendation algorithm framework, Education and Information Technologies. 2022, 10.1007/s10639-022-11077-6. (SSCI, SCI双收录期刊)

[31] Qinghua Su, Gaocheng Cai, Zhongbo Hu*, Xianshan Yang. Test case generation using improved differential evolution algorithms with novel hypercube-based learning strategies, Engineering Applications of Artificial Intelligence. 2022, 112, 104840. (SCI IF: 7.802 TOP期刊)

[30] Linigyi Shi, Zhongbo Hu*, Qinghua Su, Yongfei Miao. A modified multifactorial differential evolution algorithm with optima-based transformation. Applied intelligence, 2022, 10.1007/s10489-022-03537-6w. (SCI IF: 5.019)

[29] Xiyang Xiang, Qinghua Su*, Gang Huang, Zhongbo Hu. A simplied non-equidistant grey prediction evolution algorithm for global optimization. Applied Soft Computing, 2022, 125, 109081. (SCI IF 8.263 TOP期刊)

[28] Cong Gao, Zhongbo Hu*, Yongfei Miao, Xiaowei Zhang, Qinghua Su. Four adaptive grey prediction evolution algorithms with different types of parameters setting techniques. Soft Computing, 2022, 10.1007/s00500-022-07228-z. (SCI IF 3.732)

[27]胡中波*,刘迪,周婷,蔡高成.一种基于灰色预测演化算法的电力机组组合方法.中国发明专利(ZL 2020102524897),授权办登日期:2022.6

[26]苏清华,蔡高成,胡中波,周婷,刘迪.一种基于DE-TH算法的测试用例生成方法及系统.中国发明专利 (ZL 202010394716X),授权办登日期:2022.5

[25]苏清华,蔡高成,吴海涛,杨先山,李丽萍.一种基于改进的灰色预测演化算法的测试用例生成方法.中国发明专利(ZL 2021105868129),授权办登日期:2022.5

[24]胡中波,蔡高成,吴海涛,杨先山,熊凯俊.基于二分搜索迭代的测试用例生成方法、系统及电子设备.中国发明专利(ZL 2020113003253),授权办登日期:2022.7

  • 2021年度

[23] Canyun Dai, Zhongbo Hu*, Qinghua Su. An adaptive hybrid backtracking search optimization algorithm for dynamic economic dispatch with valve-point effects, Energy, 2022,239,122461. (SCI IF: 7.147 TOP期刊)

[22] Di Liu, Zhongbo Hu*, Qinghua Su, Mianfang Liu. A niching differential evolution algorithm for the large-scale combined heat and power economic dispatch problem, Applied Soft Computing, 2021, 113, 108017 . (SCI IF: 6.725 TOP期刊)

[21] Gaocheng Cai, Qinghua Su*, Zhongbo Hu*. Binary searching iterative algorithm for generating test cases to cover paths, Applied Soft Computing, 2021, 11, 107910. (SCI IF: 6.725 TOP期刊)

[20] Gaocheng Cai, Qinghua Su*, Zhongbo Hu*. Automated test case generation for path coverage by using grey prediction evolution algorithm with improved scatter search strategy, Engineering Application of Artificial Intelligence, 2021, 106, 104454.(SCI IF: 6.212 TOP期刊)

[19] Cong Gao, Zhongbo Hu*, Wangyu Tong. Linear prediction evolution algorithm: a simplest evolutionary optimizer, Memetic Computing, 2021, 13, 319–339.(SCI IF: 5.900 )

[18] Zhongbo Hu*, Cong Gao, Qinghua Su. A Novel Evolutionary Algorithm Based on Even Difference Grey Model, Expert Systems with Applications, 2021. 3. 17, Online. (SCI IF: 6.954 TOP期刊)

[17] Ting Zhou, Zhongbo Hu*, Quan Zhou, Shixiong Yuan. A novel grey prediction evolution algorithm for multimodal multiobjective optimization, Engineering Applications of Artificial Intelligence, 2021, 104173. (SCI IF: 6.212 TOP期刊)

  • 2020年度

[16] Zhongbo Hu*, Xinlin Xu, Qinghua Su, Huimin Zhu, Jinhai Guo. Grey prediction evolution algorithm for global optimization, Applied Mathematical Modelling, 2020, 79, 145–160. (SCI TOP期刊)

[15] Xinlin Xu, Zhongbo Hu*, Qinghua Su, Yuanxiang Li, Jianhua Dai. Multivariable grey prediction evolution algorithm: A new metaheuristic, Applied Soft Computing, 2020, 89, 106086. (SCI TOP期刊)

[14] Canyun Dai, Zhongbo Hu*, Zheng Li, Zenggang Xiong, Qinghua Su. An improved grey prediction evolution algorithm based on Topological Opposition-based learning. IEEE Access, vol. 8, pp. 30745-30762, 2020. (SCI TOP期刊)

[13] Zhongbo Hu, Zheng Li, Canyun Dai, Xinlin Xu, Zenggang Xiong, Qinghua Su. Multiobjective grey prediction evolution algorithm for environmental/economic dispatch problem. IEEE Access, vol. 8, pp. 84162-84176, 2020. https://doi.org/10.1109/ACCESS.2020.2992116. (SCI TOP期刊)

[12] Gao Cong, Zhongbo Hu, Zenggang Xiong, Qinghua Su. Grey Prediction Evolution Algorithm Based on Accelerated Even Grey Model. IEEE Access, vol. 8, pp. 107941-107957, 2020. (SCI TOP期刊)

[11] Hailong Wang, Zhongbo Hu, Yuqiu Sun, Qinghua Su and Xuewen Xia. A novel modified BSA inspired by species evolution rule and simulated annealing principle for constrained engineering optimization problems. Neural Computing and Applications, 2019, 31, 4157-- 4184. (SCI)

[10] Xinlin Xu, Zhongbo Hu*, Qinghua Su, Zenggang Xiong, Mianfang Liu. Multi-objective learning backtracking search algorithm for economic emission dispatch problem. Soft Computing.(2021)25:2433-2452. https://doi.org/10.1007/s00500-020-05312-w. (SCI)

[9]胡中波,苏清华,缪永飞,万继方.一种基于erasure code的随机写实现方法,中国发明专利(ZL 2017 1 0519600.2),2020.7授权.

  • 2019年度以前

[8] Zheng Li, Zhongbo Hu*, Yongfei Miao, et al. Deep-Mining Backtracking Search Optimization Algorithm Guided by Collective Wisdom, Mathematical Problems in Engineering, vol. 2019, Article ID 2540102. (SCI)

[7] Hailong Wang, Neng Li, Zhongbo Hu, et al. Structural, electronic, and dielectric properties of a large random network model of amorphous zeolitic imidazolate frameworks and its analogues, Journal of the American Ceramic Society, 2019, 102(8): 4602-4611. (SCI)

[6] Xinlin Xu, Zhongbo Hu*, Qinghua Su, et al. Multiobjective Collective Decision Optimization Algorithm for Economic Emission Dispatch Problem, Complexity, Volume 2018, Article ID 1027193, 20 pages, https://doi.org/10.1155/2018/1027193 (SCI)

[5] Hailong Wang, Zhongbo Hu*, Yuqiu Sun, et al. Modified Backtracking Search Optimization Algorithm Inspired by Simulated Annealing for Constrained Engineering Optimization Problems, Computational Intelligence and Neuroscience, vol. 2018, Article ID 9167414, 27 pages. (SCI)

[4]徐新林,胡中波*,何先平,苏清华.自适应变异尺度系数和混合选择的回溯搜索算法,计算机工程与应用. 2017,53(17):6~13+107. (中文核心)

[3] Xuewen Xia, Bojian Wang, Chengwang Xie, Zhongbo Hu, A Sophisticated PSO based on Multi-level Adaptation and Purposeful Detection, Soft. Comput. 2017, DOI 10.1007/s00500-017-2514-x. (SCI)

[2] Zhongbo Hu, Qinghua Su, Xianshan Yang, et al. Not Guaranteeing Convergence of Differential Evolution on a Class of Multimodal Functions. Applied Soft Computing, 2016, 41: 479-487. (SCI TOP期刊)

[1] Zhongbo Hu, Qinghua Su, Xuewen Xia. Multi-objective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution. Computational Intelligence and Neuroscience, vol. 2016, Article ID 2450431, 12 pages. (SCI)

教学成果

1 讲授的主要课程

本科生课程:《数值分析》、《数学分析》、《线性代数》

研究生课程:《智能计算方法》、《现代数学基础》、《数值分析》


2 承担的实践性教学任务

[1]指导了本科生毕业论文,共30人。有2学生获湖北省优秀学士学位论文奖

[2]指导本科生教学试讲,共20人。其中1学生获学院一等奖

[3]指导大学生创新训练计划项目“基于改进协同过滤算法的电商智能推荐系统”(王右雪等),结题获国家级优秀,2016年


3 主持及参与的教学研究项目

[1]大数据时代普通本科院校信息与计算科学专业课程体系的改革与实践,教育部,201702112008,2018~2019,主持人

[2]基于创新型人才培养的地方高校高等数学教学模式的改革与实践,湖北省教育厅,2017~2019,排序2

[3]基于SPOC理念的高等数学教学模式探索与实践,湖北省教育厅,2016~2017,排序3


科学研究

教学研究

学生信息

• 蔡高成

• 孔娅妮

• 刘雨果

• 王昱杰

• 湛雅倩

• 郝蕊

• 王文聪

• 杨沛鑫

• 王佳珺

• 张倩

• 刘越

• 施泠屹

• 王旭鹏

• 刘笛

• 周婷

• 蔡高成

• 代灿云

• 王右雪

• 高聪