Dynamic scheduling for multi-level air defense with contingency situations based on Human-Intelligence collaboration-Reference-Cited by-同舟云学术

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Dynamic scheduling for multi-level air defense with contingency situations based on Human-Intelligence collaboration

Published:2024-06 Issue: Volume:132 Page:107893
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Tang Rugang^ORCID,Ning Xin,Wang Zheng,Fan Jiaqi^ORCID,Ma Shichao

Publisher

Elsevier BV

Reference39 articles.

1. An efficient two-stage genetic algorithm for a flexible job-shop scheduling problem with sequence dependent attached/detached setup, machine release date and lag-time;Defersha;Comput. Ind. Eng.,2020

2. Cooperative task assignment of multiple heterogeneous unmanned aerial vehicles using a modified genetic algorithm with multi-type genes;Deng;Chin. J. Aeronaut.,2013

3. Inductive representation learning on large graphs;Hamilton;Adv. Neural Inf. Process. Syst.,2017

4. Research on adaptive job shop scheduling problems based on dueling double DQN;Han;Ieee Access,2020

5. A deep reinforcement learning based solution for flexible job shop scheduling problem;Han;Int. J. Simul. Model.,2021

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