Email: int_lyc@cug.edu.cn
We provide multiobjective version of MTEA-SaO with solvers NSGA-II and SPEA2-DE The code also included in the MTO-Platform, The source code of MO-MTEA-SaO can be found at MO-MTEA-SaO
The provided MTEA_SaO.m file needs to be placed in the Algorithms Folder in MTO-Platform for use.
The MTO-Platform has incorporated relevant algorithms and provides convenient functions. We highly recommend using MTO-Platform for code training. https://github.com/intLyc/MTO-Platform
The real-world applications covered in the paper have also been uploaded to the MTO-Platform
Parameter Extraction of Photovoltaic Models
@Article{Li2022MTEA-SaO,
title = {Multitasking Optimization via an Adaptive Solver Multitasking Evolutionary Framework},
author = {Yanchi Li and Wenyin Gong and Shuijia Li},
journal = {Information Sciences},
year = {2022},
issn = {0020-0255},
doi = {https://doi.org/10.1016/j.ins.2022.10.099},
}