Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization
RADIATION PROTECTION|更新时间:2025-02-28
|
Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization
“In the field of nuclear emergency decision-making, experts use ant colony algorithm to address the problem of rescue action path planning in radiation environments, providing decision support for rapid nuclear emergency rescue.”
Journal of Radiation Research and Radiation ProcessingVol. 38, Issue 2, Pages: 33-40(2020)
作者机构:
1.中国科学院核能安全技术研究所 中子输运理论与辐射安全重点实验室 合肥 230031
2.中国科学技术大学 合肥 230027
3.安徽省核应急专业技术支持中心 合肥 230031
4.安徽省国土资源信息中心 合肥 230601
作者简介:
ZHANG Guangcheng (male) was born in August 1986, and obtained his bachelor’s degree from Anhui University in 2008. Now he is a graduate student at University of Science and Technology of China, majoring in engineering management
HE Tao, doctoral degree, associate professor, E-mail: tao.he@fds.org.cn
基金信息:
the Informatization Project of Chinese Academy of Sciences(XXH13506-104);the Project of Hefei Institutes of Physical Science, Chinese Academy of Sciences(KP-2017-19);the Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences and the Industrialization Fund
ZHANG Guangcheng,HE Tao,ZHENG Xiaolei,et al.Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization[J].Journal of Radiation Research and Radiation Processing,2020,38(02):33-40.
ZHANG Guangcheng,HE Tao,ZHENG Xiaolei,et al.Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization[J].Journal of Radiation Research and Radiation Processing,2020,38(02):33-40. DOI: 10.11889/j.1000-3436.2020.rrj.38.020601.
Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization