"Multi-objective Evolutionary Algorithms are Generally Good: Maximizing ..."

Chao Qian et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-12-30

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2104-09884
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-09884
Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang:
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. CoRR abs/2104.09884 (2021)

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