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Evolutionary Competitive Multitasking Optimization via Improved Adaptive Differential Evolution (ESWA 23)

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Evolutionary Competitive Multitasking Optimization via Improved Adaptive Differential Evolution (MTSRA)

Email: int_lyc@cug.edu.cn

Note

The provided MTSRA.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{Li2023MTSRA,  
  title      = {Evolutionary Competitive Multitasking Optimization Via Improved Adaptive Differential Evolution},  
  author     = {Yanchi Li and Wenyin Gong and Shuijia Li},  
  journal    = {Expert Systems with Applications},  
  year       = {2023},  
  issn       = {0957-4174},  
  pages      = {119550},  
  doi        = {https://doi.org/10.1016/j.eswa.2023.119550},  
}  

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