Chaoda Peng
Orcid: 0000-0002-5870-8410
According to our database1,
Chaoda Peng
authored at least 18 papers
between 2015 and 2024.
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Bibliography
2024
Joint Energy and Completion Time Difference Minimization for UAV-Enabled Intelligent Transportation Systems: A Constrained Multi-Objective Optimization Approach.
IEEE Trans. Intell. Transp. Syst., October, 2024
A novel multi-objective evolutionary algorithm with a two-fold constraint-handling mechanism for multiple UAV path planning.
Expert Syst. Appl., March, 2024
An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach.
IEEE Internet Things J., 2023
2022
Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning.
IEEE Wirel. Commun. Lett., 2022
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms.
Knowl. Based Syst., 2022
A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning.
Appl. Soft Comput., 2022
2021
A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints.
IEEE Trans. Cybern., 2021
2020
Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance.
Swarm Evol. Comput., 2020
2019
Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
2018
A novel constraint-handling technique based on dynamic weights for constrained optimization problems.
Soft Comput., 2018
2017
Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems.
Int. J. Pattern Recognit. Artif. Intell., 2017
An evolutionary algorithm with directed weights for constrained multi-objective optimization.
Appl. Soft Comput., 2017
The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization.
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017
2016
A Constrained Multi-Objective Evolutionary Algorithm Based on Boundary Search and Archive.
Int. J. Pattern Recognit. Artif. Intell., 2016
A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
An improved Covariance Matrix Leaning and Searching Preference algorithm for solving CEC 2015 benchmark problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015