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Chaoda Peng

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2020 – today

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2024
[j12]
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Wenhui Zhang, Chaoda Peng, Yuan Yuan, Jinrong Cui, Long Qi:
A novel multi-objective evolutionary algorithm with a two-fold constraint-handling mechanism for multiple UAV path planning. Expert Syst. Appl. 238(Part D): 121862 (2024)
[j11]
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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 Trans. Intell. Transp. Syst. 25(10): 14040-14053 (2024)
[c6]
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  - conf/cec/YangTCLP24
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Lei Yang, Jinglin Tian, Jiale Cao, Kangshun Li, Chaoda Peng:
An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems. CEC 2024: 1-8
2023
[j10]
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Xumin Huang, Chaoda Peng, Yuan Wu, Jiawen Kang, Weifeng Zhong, Dong In Kim, Long Qi:
Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach. IEEE Internet Things J. 10(23): 20368-20382 (2023)
2022
[j9]
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Chaoda Peng, Shaojian Qiu:
A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning. Appl. Soft Comput. 118: 108495 (2022)
[j8]
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Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan:
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. Knowl. Based Syst. 239: 107933 (2022)
[j7]
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Chaoda Peng, Xumin Huang, Yuan Wu, Jiawen Kang:
Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning. IEEE Wirel. Commun. Lett. 11(4): 861-865 (2022)
2021
[j6]
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  - journals/tcyb/PengLG21
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Chaoda Peng, Hai-Lin Liu, Erik D. Goodman:
A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints. IEEE Trans. Cybern. 51(11): 5546-5558 (2021)
2020
[j5]
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  - journals/swevo/PengLG20
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Chaoda Peng, Hai-Lin Liu, Erik D. Goodman:
Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance. Swarm Evol. Comput. 55: 100676 (2020)

2010 – 2019

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2019
[c5]
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  - conf/ssci/PengLG19
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Chaoda Peng, Hai-Lin Liu, Erik D. Goodman:
Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions. SSCI 2019: 3047-3052
2018
[j4]
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  - journals/soco/PengLG18
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Chaoda Peng, Hai-Lin Liu, Fangqing Gu:
A novel constraint-handling technique based on dynamic weights for constrained optimization problems. Soft Comput. 22(12): 3919-3935 (2018)
2017
[j3]
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Chaoda Peng, Hai-Lin Liu, Fangqing Gu:
An evolutionary algorithm with directed weights for constrained multi-objective optimization. Appl. Soft Comput. 60: 613-622 (2017)
[j2]
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  - journals/ijprai/YuanLP17
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Jiawei Yuan, Hai-Lin Liu, Chaoda Peng:
Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems. Int. J. Pattern Recognit. Artif. Intell. 31(4): 1759006:1-1759006:17 (2017)
[c4]
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Jiabin Lin, Hai-Lin Liu, Chaoda Peng:
The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization. CIS 2017: 82-86
2016
[j1]
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Hai-Lin Liu, Chaoda Peng, Fangqing Gu, Jiechang Wen:
A Constrained Multi-Objective Evolutionary Algorithm Based on Boundary Search and Archive. Int. J. Pattern Recognit. Artif. Intell. 30(1): 1659002:1-1659002:19 (2016)
[c3]
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  - conf/ijcnn/PengLG16
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Chaoda Peng, Hai-Lin Liu, Fangqing Gu:
Solving constrained optimization using decomposition-based EMO algorithm. IJCNN 2016: 4170-4176
[c2]
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  - conf/webi/PengL16
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Chaoda Peng, Hai-Lin Liu:
A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization. WI Workshops 2016: 129-134
2015
[c1]
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  - conf/cec/ChenPLX15
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Lei Chen, Chaoda Peng, Hai-Lin Liu, Shengli Xie:
An improved Covariance Matrix Leaning and Searching Preference algorithm for solving CEC 2015 benchmark problems. CEC 2015: 1041-1045

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