A hypervolume-based evolutionary algorithm for rescue robot assignment problem of nuclear accident-Reference-Cited by-同舟云学术

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A hypervolume-based evolutionary algorithm for rescue robot assignment problem of nuclear accident

Published:2023-09-20 Issue:22 Volume:53 Page:27912-27933
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wen Chengxin^ORCID,Huang Peiqiu,Shi Shaolong,Li Lihua

Funder

Key Program of NSFC-Tongyong Union Foundation

Natural Science Foundation of Sichuan Province

Society of Hong Kong Scholars

National Science Fund for Distinguished Young Scholars

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-04984-9.pdf

Reference47 articles.

1. Tsitsimpelis I, Taylor CJ, Lennox B, Joyce MJ (2019) A review of ground-based robotic systems for the characterization of nuclear environments. Prog Nucl Energy 111:109–124

2. Schneider E (2018) Mechanism selection for multi-robot task allocation. The University of Liverpool (United Kingdom)

3. Talebpour Z, Martinoli A (2018) Risk-based human-aware multi-robot coordination in dynamic environments shared with humans. In: 2018 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 3365–3372. IEEE

4. Otte M, Kuhlman MJ, Sofge D (2020) Auctions for multi-robot task allocation in communication limited environments. Auton Robot 44:547–584

5. Zhou X, Wang H, Ding B, Hu T, Shang S (2019) Balanced connected task allocations for multi-robot systems: an exact flow-based integer program and an approximate tree-based genetic algorithm. Expert Syst Appl 116:10–20

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1. An efficient two-stage evolutionary algorithm for multi-robot task allocation in nuclear accident rescue scenario;Applied Soft Computing;2024-02

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