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Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions (TEVC 25)

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Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions (CMO-MTO)

Email: int_lyc@cug.edu.cn

Reference

@Article{Li2025CMO-MTO,
  title    = {Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions},
  author   = {Li, Yanchi and Wu, Xinyi and Gong, Wenyin and Xu, Meng and Wang, Yubo and Gu, Qiong},
  journal  = {IEEE Transactions on Evolutionary Computation},
  year     = {2024},
  doi      = {10.1109/TEVC.2024.3524508},
}

Note

The MTO-Platform (MToP) has incorporated the relevant algorithm and problems at:

RVC-MTEA Algorithm

CMOMT Benchmark

Competitive MO-SCP

Competitive MO-OPF

MToP provides convenient utility functions. We highly recommend using it for code running. https://github.com/intLyc/MTO-Platform

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