About
Contact & Profiles
A5034567377
Research Areas
- UAV Applications and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Robotic Path Planning Algorithms
- Distributed Control Multi-Agent Systems
- Machine Learning and Data Classification
- Evolutionary Algorithms and Applications
- Robotics and Sensor-Based Localization
Sun Yat-sen University
2023
Shenzhen University
2021
Multitask optimization aims to solve two or more tasks simultaneously by leveraging intertask knowledge transfer. However, as the number of increases extent many-task optimization, transfer between encounters uncertainty and challenges, thereby resulting in degradation performance. To give full play framework minimize potential negative transfer, this article proposes an evolutionary algorithm based on a multisource mechanism, namely, EMaTO-MKT. Particularly, each iteration, EMaTO-MKT...
10.1109/tevc.2021.3101697
article
EN
IEEE Transactions on Evolutionary Computation
2021-08-02
10.1016/j.ins.2023.119977
article
EN
Information Sciences
2023-12-05
10.1016/j.asoc.2025.112927
article
EN
Applied Soft Computing
2025-03-03
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