We provided MATLAB implementations for Multitask evolutionary algorithm based on anomaly detection (MTEA-AD).
- Clone this repo:
git clone git@github.com:xiaofangxd/MTEA-AD.git
cd MTEA-AD
- Install MATLAB.
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 main.m.
- If you want to modify the algorithm parameters, please visit the file public/PARAMETER.m.
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}}
Solving Multi-task Optimization Problems with Adaptive Knowledge Transfer via Anomaly Detection
Email:xiaofengxd@126.com