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Radioactive source search problem and optimisation model based on meta-heuristic algorithm

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成果类型:
期刊论文
作者:
Zhang M.;Lu X.;Hoffman E.;Kharabsheh R.;Xiao Q.
作者机构:
[Xiao Q.] School of Math and Physics, University of South China, Hengyang, China
School of Mathematics, Physics and Energy Engineering, Hengyang, China
[Lu X.] Department of Mathematics and Statistics, University of Calgar, Calgary, AB T2N 1N4, Canada
[Hoffman E.] Canadian University Dubai, Dubai, United Arab Emirates
[Kharabsheh R.] Business Administration Economics and Administrative Science, Applied Science University Bahrain, Al Hidd, Bahrain
语种:
英文
关键词:
complexity;nuclear radioactive source;random search algorithm
期刊:
Applied Mathematics and Nonlinear Sciences
ISSN:
2444-8656
年:
2022
基金类别:
The research is supported by the Hunan Natural Science Foundation Project (No. 2019JJ40260).
机构署名:
本校为第一机构
院系归属:
数理学院
摘要:
In the process of rational development and utilisation of nuclear energy, people often face nuclear accidents such as lost and stolen radioactive sources; so, the means of searching for these sources quickly in highly radioactive environments is an important security challenge. In the past, these jobs were limited to workers specialising in nuclear technology. They used gamma-ray detection equipment to search for radioactive sources, but the search efficiency was low. The main purpose of this article is to design a meta-heuristic algorithm base...

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