Radioactive source search problem and optimisation model based on meta-heuristic algorithm
- Autores: Min Zhang, Xuewen Lu, Ettiene Hoffman, Radwan Kharabsheh, Qianghua Xiao
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 2, 2022, págs. 601-630
- Idioma: inglés
- DOI: 10.2478/amns.2021.2.00159
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Resumen
In the process of rational development and utilisation of nuclear energy, people often face nuclear accidents such as lost andstolen radioactive sources; so, the means of searching for these sources quickly in highly radioactive environments is animportant security challenge. In the past, these jobs were limited to workers specialising in nuclear technology. They usedgamma-ray detection equipment to search for radioactive sources, but the search efficiency was low. The main purpose ofthis article is to design a meta-heuristic algorithm based on imitating professional technicians to locate radioactive sourcesin a computer-aided manner. At the same time, due to the complexity that may characterise the actual search, the searchstrategy must be optimised. The article established an intelligent random search model with human thinking. Finally, it wasproved based on the mathematical theory that the complexity of the model search algorithm is linear, and the simulationexperiment results show that the optimisation algorithm has good efficiency and fault tolerance.
