Chaoda Peng

According to our database, Chaoda Peng authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A novel multi-objective evolutionary algorithm with a two-fold constraint-handling mechanism for multiple UAV path planning.

Wenhui Zhang, Chaoda Peng, Yuan Yuan, Jinrong Cui, Long Qi

Expert Syst. Appl., March, 2024

2023

Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach.

Xumin Huang, Chaoda Peng, Yuan Wu, Jiawen Kang, Weifeng Zhong, Dong In Kim, Long Qi

IEEE Internet Things J., 2023

2022

Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning.

Chaoda Peng, Xumin Huang, Yuan Wu, Jiawen Kang

IEEE Wirel. Commun. Lett., 2022

A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms.

Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan

Knowl. Based Syst., 2022

A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning.

Chaoda Peng, Shaojian Qiu

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.

Chaoda Peng, Hai-Lin Liu, Erik D. Goodman

IEEE Trans. Cybern., 2021

2020

Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance.

Chaoda Peng, Hai-Lin Liu, Erik D. Goodman

Swarm Evol. Comput., 2020

2019

Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions.

Chaoda Peng, Hai-Lin Liu, Erik D. Goodman

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

A novel constraint-handling technique based on dynamic weights for constrained optimization problems.

Chaoda Peng, Hai-Lin Liu, Fangqing Gu

Soft Comput., 2018

2017

Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems.

Jiawei Yuan, Hai-Lin Liu, Chaoda Peng

Int. J. Pattern Recognit. Artif. Intell., 2017

An evolutionary algorithm with directed weights for constrained multi-objective optimization.

Chaoda Peng, Hai-Lin Liu, Fangqing Gu

Appl. Soft Comput., 2017

The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization.

Jiabin Lin, Hai-Lin Liu, Chaoda Peng

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.

Hai-Lin Liu, Chaoda Peng, Fangqing Gu, Jiechang Wen

Int. J. Pattern Recognit. Artif. Intell., 2016

A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization.

Chaoda Peng, Hai-Lin Liu

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Solving constrained optimization using decomposition-based EMO algorithm.

Chaoda Peng, Hai-Lin Liu, Fangqing Gu

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.

Lei Chen, Chaoda Peng, Hai-Lin Liu, Shengli Xie

Proceedings of the IEEE Congress on Evolutionary Computation, 2015