A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments-Reference-Cited by-同舟云学术

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A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments

Published:2019-01-28 Issue:7 Volume:49 Page:2603-2622
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Tang Hongwei^ORCID,Sun Wei,Yu Hongshan,Lin Anping,Xue Min,Song Yuxue

Funder

The National Science and Technology Support Plan of China

The Planned Science and Technology Project of Hunan Province

National Natural Science Foundation of China

Science and Technology Plan Project of Shenzhen City

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10489-018-1390-0.pdf

Reference43 articles.

1. Wei C, Hindriks KV, Jonker CM (2016) Dynamic task allocation for multi-robot search and retrieval tasks. Appl Intell 45(2):1–19

2. Kantor G, Singh S, Peterson R, Rus D, Das A, Kumar V, Pereira G, Spletzer J (2003) Distributed search and rescue with robot and sensor teams. Springer Tracts in Advanced Robotics 24:529–538

3. Senthilkumar KS, Bharadwaj KK (2012) Multi-robot exploration and terrain coverage in an unknown environment. Robot Auton Syst 60(1):123–132

4. Zhang J, Gong D, Zhang Y (2014) A niching PSO-based multi-robot cooperation method for localizing odor sources. Neurocomputing 123:308–317

5. Cuevas E, Cienfuegos M, Zaldívar D, Pérez-Cisneros M (2013) A swarm optimization algorithm inspired in the behavior of the social-spider. Expert Syst Appl 40(16):6374–6384

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