博士，华南农业大学数学与信息（软件）学院教师，研究生导师。近五年从事约束多目标优化、无人机路径规划、强化学习等领域研究。发表或参与国际论文20余篇；目前担任IEEE Trans. on Evolutionary Computation、IEEE Trans. on Cybernetics和Knowledge-Based Systems等国际期刊的审稿人；主持国家自然科学基金青年项目1项，广州市科技计划项目2项；参与国家重点研发子课题项目1项，国家自然科学基金2项，广东省自然科学基金1项，国家自然科学基金面上项目1项。于2017.12-2019.11期间至美国密歇根州立大学 Erik D.Goodman教授团队研学。

动态约束多目标优化、无人机路径规划、强化学习、边缘计算、深度学习。

[1]面向时间敏感无人机路径规划的动态约束多目标进化算法研究，经费10万元，起止年月：2025.01-2026.12，广州市科技计划项目，主持。

[2]面向农业无人机自适应路径规划的约束多目标进化算法研究，立项编号：62202177，经费30万元，起止年月：2023.01-2025.12，国家自然科学基金-青年科学基金项目，主持。

[3]面向复杂环境无人机路径规划的约束多目标进化算法研究，立项编号：32001264，经费5万元，起止年月：2022-2024，广州市科技计划项目，主持。
[4] 基于显微图像的土壤气相特性信息田间原位快速感知方法，立项编号：2021YFD2000201-01，经费50万元，起止年月：2021.12-2026.11，“十四五”国家重点研发计划子课题，参与。
[5] 面向高维维阵列基因数据分析的超多目标进化聚类研究，立项编号：61703108，经费25万元，起止年月：2018.01-2021.12，国家自然科学基金-青年科学基金项目，参与。
[6] 中立型Poisson跳变随机泛函微分系统的稳定性、数值计算与仿真，立项编号：61803095，经费24万元，起止年月：2018.01-2021.12，国家自然科学基金-青年科学基金项目，参与。
[7] 面向数据驱动获取迁移特征的进化超多目标优化算法，立项编号：2020A1515011500，经费10万元，起止年月：2019.10-2022.09，广东省国家自然科学基金，参与。
[8] 融合自适应分解与单纯形支配的进化超多目标优化算法及应用，立项编号：61673121，经费16万元，起止年月：2017.01-2017.12，国家自然科学基金-面上项目，参与。

[1] Chaoda Peng; Zexiong Wu; Xumin Huang; Yuan Wu; Jiawen Kang; Qiong Huang; Shengli Xie; Joint Energy and Completion Time Difference Minimization for UAV-enabled Intelligent Transportation Systems: A Constrained Multi-Objective Optimization Approach, IEEE Transactions on Intelligent Transportation Systems, 2024. (Accepted)(中科院ToP一区，IF=8.5)
[2] Shaojian Qiu; Mengyang Huang; Yun Liang; Chaoda Peng*; Yuan Yuan; Code Multi-View Hypergraph Representation Learning for Software Defect Prediction; IEEE Transactions on Reliability, 2024. (Accepted)(中科院二区，IF=5.9)
[3] Peng C, Liu H L, Goodman E D, et al. A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms[J]. Knowledge-Based Systems, 2022, 239: 107933. (SCI, IF: 8.139)
[4] Peng C, Qiu S. A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning[J]. Applied Soft Computing, 2022, 118: 108495. (SCI, IF: 8.263)
[5] Peng C, Huang X, Wu Y, et al. Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning[J]. IEEE Wireless Communications Letters, 2022, 11(4): 861-865. (SCI, IF: 5.281)
[6] Peng C, Liu H L, Goodman E D. A cooperative evolutionary framework based on an improved version of directed weight vectors for constrained multiobjective optimization with deceptive constraints[J]. IEEE Transactions on Cybernetics, 2020, 51(11): 5546-5558. (SCI, IF: 19.118)
[7] Peng C, Liu H L, Goodman E D. Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance[J]. Swarm and Evolutionary Computation, 2020, 55: 100676. (SCI, IF: 10.267)
[8] Peng C, Liu H L, Gu F. An evolutionary algorithm with directed weights for constrained multi-objective optimization[J]. Applied Soft Computing, 2017, 60: 613-622. (SCI, IF: 8.263)
[9] Peng C, Liu H L, Gu F. A novel constraint-handling technique based on dynamic weights for constrained optimization problems[J]. Soft Computing, 2018, 22: 3919-3935. (SCI, IF: 8.263)
[10] Peng C , Liu H L , Goodman E D .Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions[C]//2019 IEEE Symposium Series on Computational Intelligence (SSCI).
[11] Peng C , Liu H L .A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization[C]//IEEE/WIC/ACM International Conference on Web Intelligence Workshops.ACM, 2016.DOI:10.1109/WIW.2016.044.
[12] Chaoda Peng, Hai-Lin Liu, Fangqing Gu. Solving constrained optimization using decomposition-based EMO algorithm[C]//2016 International Joint Conference on Neural Networks (IJCNN).

[1]彭超达;黄海源;何才杰等.一种基于改进多目标进化算法的无人机群路径规划方法:202310405415[P].

[2]彭超达;邓凯曦;叶思妍等.基于改进约束多目标优化进化算法的AGA-UAV路径规划方法:202311092374[P].

团队研究生：10名（两名保研生）；团队本科生：5名。欢迎各位有志于从事科学研究的同学联系我！邮箱：chaodapeng@scau.edu.cn