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Multi-helicopter collaborative search and rescue operation research based on decision-making.

Authors :
Shao, Quan
Jia, Meng
Xu, Chenchen
Zhu, Yan
Source :
Journal of Supercomputing; May2020, Vol. 76 Issue 5, p3231-3251, 21p
Publication Year :
2020

Abstract

The aim of this paper was to analyse and model the behaviour decision-making of rescue crews in multi-helicopter collaborative search and rescue mission. Firstly, based on decision field theory, a dynamic behavioural decision-making model was put forward considering personal behaviour decision-making preference. Besides, considering physical characteristics, safety requirements and rescue crews' behaviour decision-making, a multi-helicopter collaborative search and rescue behaviour model was established. Then, based on the survey of four general aviation helicopter search and rescue companies, the search and rescue efficiency by teams composed of different decision-making preferences was simulated based on distributed ant colony algorithm in experiments. Results showed that rescue crews with different personal preferences have different behaviour characteristics. Besides, teams composed of mixed preferences are more efficient than teams composed of single preferences, and the most optimal composition way is when the positive type is slightly more than the conservative type and balanced type. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09208542
Volume :
76
Issue :
5
Database :
Complementary Index
Journal :
Journal of Supercomputing
Publication Type :
Academic Journal
Accession number :
143136768
Full Text :
https://doi.org/10.1007/s11227-018-2555-7