intLyc / MTEA-SaO

Multitasking Optimization via An Adaptive Solver Multitasking Evolutionary Framework (INS 22)

Multitasking Optimization via An Adaptive Solver Multitasking Evolutionary Framework (MTEA-SaO)

Email: [e-mail]

New Update

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

Note

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

Sensor Coverage Problem

Parameter Extraction of Photovoltaic Models

Reference

@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},  
}