Global State-Guided Reinforcement Learning-Assisted Differential Evolution for Multi-Objective Optimization

Cao Z, Liu W, Qiao C, Jia H, Li Y, Zhang H, Tian F.

DOI: 10.21203/rs.3.rs-11075153/v1
Published: 2026-10-15
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-11075153/v1,
  title = {Global State-Guided Reinforcement Learning-Assisted Differential Evolution for Multi-Objective Optimization},
  author = {Cao Z and  Liu W and  Qiao C and  Jia H and  Li Y and  Zhang H and  Tian F.},
  year = {2026},
  doi = {10.21203/rs.3.rs-11075153/v1},
  url = {https://doi.org/10.21203/rs.3.rs-11075153/v1}
}

RIS

TY  - JOUR
TI  - Global State-Guided Reinforcement Learning-Assisted Differential Evolution for Multi-Objective Optimization
AU  - Cao Z
AU  -  Liu W
AU  -  Qiao C
AU  -  Jia H
AU  -  Li Y
AU  -  Zhang H
AU  -  Tian F.
PY  - 2026
DO  - 10.21203/rs.3.rs-11075153/v1
UR  - https://doi.org/10.21203/rs.3.rs-11075153/v1
ER  -

APA

Z, C., W, L., C, Q., H, J., Y, L., H, Z., & F., T. (2026). Global State-Guided Reinforcement Learning-Assisted Differential Evolution for Multi-Objective Optimization. https://doi.org/10.21203/rs.3.rs-11075153/v1

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europe-pmc · retrieved 2026-11-06T23:27:21.068Z