姓名：赵海童

职称：副教授

电子邮箱：zhaoht@szut.edu.cn

研究方向：计算智能、智能优化、多模态学习、智能信息物理系统

赵海童，男，1992年生，博士，副教授，硕士研究生导师。2022年在东北大学计算机科学与工程学院获得工学博士学位后加入苏州工学院计算机科学与工程学院。主要从事计算智能、智能优化、多模态学习、智能信息物理系统及其在新型电力系统、智慧工厂、智慧建筑等领域的应用研究。目前已在《IEEE Transactions on Evolutionary Computation》等国际知名学术期刊发表高质量论文十余篇，其中ESI高被引论文一篇、以第一作者身份发表影响因子5.0以上SCI检索论文8篇；担任《Swarm and Evolutionary Computation》《IEEE Transactions on Emerging Topics in Computational Intelligence》《IEEE Transactions on Artificial Intelligence》等学术期刊审稿专家。主持国家自然科学基金青年基金项目一项，中央高校基本科研业务费项目一项。博士学位论文被提名为中国电子教育学会优秀博士学位论文。

主要承担的教学课程

操作系统；大数据与人工智能；大学计算机素养——人工智能；

研究方向

计算智能、智能优化、多模态学习、智能信息物理系统及其在新型电力系统、智慧工厂、智慧建筑等领域的应用研究

主要科研项目

[1] 国家自然科学基金青年基金：基于异构数据表征学习的超多任务多目标进化优化算法研究(62302064)（主持，在研）

[2] 中央高校基本科研业务费博士创新项目(N2017013)（主持，已结项）

近期代表性论文

[1] Haitong Zhao, Changsheng Zhang, Bing Xue, Mengjie Zhang, Bin Zhang. A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation[J]. IEEE Transactions on Evolutionary Computation, 2024, 28(3): 810-824. (中科院一区, JCR Q1, IF=11.7)

[2] Haitong Zhao, Changsheng Zhang, Xuanyu Zheng, Chen Zhang, Bin Zhang. A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches[J]. Swarm and Evolutionary Computation, 2022, 68: 100977. (中科院一区, JCR Q1, IF=10.267)

[3] Haitong Zhao, Changsheng Zhang. An Ant Colony Optimization Algorithm with Evolutionary Experience-Guided Pheromone Updating Strategies for Multi-Objective Optimization[J]. Expert Systems with Applications, 2022: 117151.  (中科院一区，JCR Q1, IF=8.665)

[4] Haitong Zhao, Changsheng Zhang. A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning[J]. Applied Soft Computing, 2020, 86: 105879. (JCR Q1, IF=8.263)

[5] Haitong Zhao, Changsheng Zhang. An online-learning-based evolutionary many-objective algorithm[J]. Information Sciences, 2020, 509: 1-21. (中科院一区, JCR Q1, IF=6.795, ESI高被引论文)

[6] Baiqing Sun, Changsheng Zhang, Haitong Zhao, and Yu Zhang. Scalable benchmarks and performance measures for dynamic multi-objective optimization[J]. Applied Soft Computing, 2024, 159: 111600.

[7] Jiaxu Ning, Haitong Zhao, and Chang Liu. An improved exhausted-food-sources-identification mechanism for the artificial bee colony algorithm[J]. Wireless Networks, 2021, 27: 3561-3572.

[8] Haitong Zhao, Changsheng Zhang, Bin Zhang. A decomposition-based many-objective ant colony optimization algorithm with adaptive reference points[J]. Information Sciences, 2020, 540: 435-448. (中科院一区, JCR Q1, IF=8.233)

[9] Haitong Zhao, Changsheng Zhang, Jiaxu Ning. A core firework updating information guided dynamic fireworks algorithm for global optimization[J]. Soft Computing, 2020, 24(2): 1185-1211. (JCR Q1, IF=3.732)

[10] Guoqiu Wang, Xuanyu Zheng, Haitong Zhao, Qidong Zhao, Changsheng Zhang, and Bin Zhang. Unmanned aerial vehicles path planning based on deep reinforcement learning[C]// In the Proceedings of Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery: Volume 1. Springer International Publishing, 2020: 81-88.

[11] Haitong Zhao, Changsheng Zhang, Jiaxu Ning. A best firework updating information guided adaptive fireworks algorithm[J]. Neural Computing and Applications, 2019, 31(1): 79-99. (JCR Q1, IF=5.102)

[12] Jiaxu Ning, Haitong Zhao, Lei Lan, Peng Sun and Yunfei Feng. A computer-aided detection system for the detection of lung nodules based on 3D-ResNet[J]. Applied Sciences, 2019, 9(24): 5544.

[13] Haitong Zhao, Changsheng Zhang, Bin Zhang, Peibo Duan, Yang Yang. Decomposition-based sub-problem optimal solution updating direction-guided evolutionary many-objective algorithm[J]. in Information Sciences, 2018, 448-449: 91-111. (中科院一区, JCR Q1, IF=8.233)

[14] Jiaxu Ning, Haitong Zhao, Changsheng Zhang, and Bin Zhang. A multi-objective optimization method for service composition problem with sharing property[C]// In the Proceedings of 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2016: 696-701.

发明专利

[1] 深度集成模型的生成方法、装置和计算机设备, ZL202311436678.X, 授权.

[2] 带宽分配方法及装置、电子设备、存储介质, ZL202411189529.2, 授权.

[3] 计算资源分配方法及装置、电子设备、存储介质, ZL202411189532.4, 授权.

联系方式

电子信箱：zhaoht@szut.edu.cn

通信地址：江苏省常熟市湖山路110号

邮政编码：215500