Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization-Reference-Cited by-同舟云学术

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Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization

Published:2024-07 Issue: Volume:88 Page:101606
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Shao Shuai,Tian Ye^ORCID,Zhang Xingyi

Publisher

Elsevier BV

Reference51 articles.

1. The critical node detection problem in networks: A survey;Lalou;Comp. Sci. Rev.,2018

2. Angle Based Critical Nodes Detection (ABCND) for reliable industrial wireless sensor networks;Shukla;Wirel. Pers. Commun.,2023

3. A hybrid heuristics artificial intelligence feature selection for intrusion detection classifiers in cloud of things;Sangaiah;Cluster Comput.,2023

4. SemiACO: A semi-supervised feature selection based on ant colony optimization;Karimi;Expert Syst. Appl.,2023

5. Optimizing large-scale distribution center locations during the COVID-19 quarantine;Wang,2023

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