MTEA-AD

We provided MATLAB implementations for Multitask evolutionary algorithm based on anomaly detection (MTEA-AD).

Getting started

• Clone this repo:

git clone [email protected]:xiaofangxd/MTEA-AD.git
cd MTEA-AD

• Install MATLAB.

Test Suites

We provide two test suites, MTO problems used in the CEC 2017 EMTO competition and MaTO problems with ten tasks. You can get them from the folder problems/ and the file public/Task.m.

Running

• Running main.m.
• If you want to modify the algorithm parameters, please visit the file public/PARAMETER.m.

Citation

If you use this code for your research, please cite our paper.

@ARTICLE{9385398,
  author={C. {Wang} and J. {Liu} and K. {Wu} and Z. {Wu}},
  journal={IEEE Transactions on Evolutionary Computation}, 
  title={Solving Multi-task Optimization Problems with Adaptive Knowledge Transfer via Anomaly Detection}, 
  year={2021},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TEVC.2021.3068157}}

Related links

Solving Multi-task Optimization Problems with Adaptive Knowledge Transfer via Anomaly Detection

Contact

Email:[email protected]