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Authors: Yuqing Wu 1 and Zhipu Wang 2

Affiliations: 1 Stuyvesant High School, New York City, U.S.A. ; 2 School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

Keyword(s): Cuckoo Search Algorithm, Odor Source Localization, Multi-robot Cooperation.

Abstract: This work presents an improved Cuckoo Search Algorithm (CSA) for multiple odor sources localization. The idea of forbidden areas is introduced to the CSA as territories of the cuckoo colonies, preventing the cuckoos from being trapped into local optimal solutions. A source is declared when a certain number of cuckoos are located in close proximity with each other, and a territory is formed around the declared source centered at the local best among those cuckoos. When territories overlap, they are merged into one territory to prevent the same source from being found multiple times. Simulation results show that the proposed method can locate multiple odor sources with high accuracy.

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Paper citation in several formats:
Wu, Y. and Wang, Z. (2021). An Improved Cuckoo Search Algorithm for Multiple Odor Sources Localization. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 708-715. DOI: 10.5220/0010231707080715

@conference{icaart21,
author={Yuqing Wu. and Zhipu Wang.},
title={An Improved Cuckoo Search Algorithm for Multiple Odor Sources Localization},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={708-715},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010231707080715},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - An Improved Cuckoo Search Algorithm for Multiple Odor Sources Localization
SN - 978-989-758-484-8
IS - 2184-433X
AU - Wu, Y.
AU - Wang, Z.
PY - 2021
SP - 708
EP - 715
DO - 10.5220/0010231707080715
PB - SciTePress

- Science and Technology Publications, Lda.
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