An Efficient Ant Colony System for Multi-Robot Task Allocation with Large-scale Cooperative Tasks and Precedence Constraints
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Liu, Xiao-Fang 
ORCID: 0000-0002-8137-4201, Lin, Bo-Cheng, Zhan, Zhi-Hui ORCID: 0000-0003-0862-0514, Jeon, Sang-Woon and Zhang, Jun ORCID: 0000-0001-7835-9871
(2021)
An Efficient Ant Colony System for Multi-Robot Task Allocation with Large-scale Cooperative Tasks and Precedence Constraints.
In: IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 5 Dec 2021 - 7 Dec 2021, Orlando, FL, USA.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/46478 |
| DOI | 10.1109/SSCI50451.2021.9659912 |
| Official URL | https://ieeexplore.ieee.org/document/9659912 |
| ISBN | 9781728190495 (print) 9781728190488 (online) |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > FOR (2020) Classification > 4605 Data management and data science Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | multi-robot system; cooperative robots; task assigned; ant colony optimization; evolutionary computation |
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