International Journal of Computational Intelligence Systems

Volume 14, Issue 1, 2021, Pages 159 - 167

A Novel Target Searching Algorithm for Swarm UAVs Inspired From Spatial Distribution Patterns of Plant Population

Authors
Xiaoming Zhang1, 2, ORCID, Yongqiang Hu3, ORCID, Tingjuan Li3, *, ORCID
1Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Hefei, 230601, China
2Peng Cheng Laboratory, No. 2 Xingke First Street, Shenzhen, 518066, China
3Qinghai Institute of Science and Technology Information, 4 Xinning Road, Xining, 810008, China
*Corresponding author. Email: litingjuan111@163.com
Corresponding Author
Tingjuan Li
Received 14 August 2020, Accepted 3 November 2020, Available Online 17 November 2020.
DOI
10.2991/ijcis.d.201109.001How to use a DOI?
Keywords
Swarm robotics; Target search; Swarm intelligence; Bean optimization algorithm; Cauchy distribution
Abstract

Like some social animal groups, the evolution of plant populations in nature also contains swarm intelligence. Aiming at the problem of swarm Unmanned Aerial Vehicles (UAVs) target searching in complex and unknown environments, this paper explores search models suitable for swarm UAVs by investigating the spatial distribution patterns of plant population and proposes a novel robot bean optimization algorithm (RBOA) based on Cauchy distribution and normal distribution (CRBOA). It has been demonstrated by comparative experiments with RBOA and adaptive robotic particle swarm optimization (A-RPSO) that the CRBOA has excellent stability, striking a good balance between exploration and exploitation.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
14 - 1
Pages
159 - 167
Publication Date
2020/11/17
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.201109.001How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xiaoming Zhang
AU  - Yongqiang Hu
AU  - Tingjuan Li
PY  - 2020
DA  - 2020/11/17
TI  - A Novel Target Searching Algorithm for Swarm UAVs Inspired From Spatial Distribution Patterns of Plant Population
JO  - International Journal of Computational Intelligence Systems
SP  - 159
EP  - 167
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201109.001
DO  - 10.2991/ijcis.d.201109.001
ID  - Zhang2020
ER  -