CMTO-Benchmark (CMT)

Evolutionary Constrained Multi-Task Optimization: Benchmark Problems and Preliminary Results

Author: Yanchi Li

Email: int_lyc@cug.edu.cn

Note

The MTO-Platform has incorporated relevant algorithms and problems and provides convenient functions. We highly recommend using MTO-Platform for code training. https://github.com/intLyc/MTO-Platform

Reference

@InProceedings{Li2022CMTO-Benchmark,
  title     = {Evolutionary Constrained Multi-Task Optimization: Benchmark Problems and Preliminary Results},  
  author    = {Li, Yanchi and Gong, Wenyin and Li, Shuijia},  
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},  
  year      = {2022},  
  pages     = {443–446},  
  publisher = {Association for Computing Machinery},  
  series    = {GECCO '22},  
  doi       = {10.1145/3520304.3528890},  
  isbn      = {9781450392686},  
  location  = {Boston, Massachusetts},  
  numpages  = {4}   
}