Earticle

초록

영어

Background: This study aims to calculate detector positions as a design of a radioactive source localizing radiation portal monitor (RPM) system using an improved genetic algorithm. Materials and Methods: To calculate of detector positions for a source localizing RPM system optimization problem is defined. To solve the problem, a modified iterative genetic algorithm (MIGA) is developed. In general, a genetic algorithm (GA) finds a globally optimal solution with a high probability, but it is not perfect at all times. To increase the probability to find globally optimal solution rather, a MIGA is designed by supplementing the iteration, competition, and verification with GA. For an optimization problem that is defined to find detector positions that maximizes differences of detector signals, a localization method is derived by modifying the inverse radiation transport model, and realistic parameter information is suggested. Results and Discussion: To compare the MIGA and GA, both algorithms are implemented in a MATLAB environment. The performance of the GA and MIGA and that of the procedures supplemented in the MIGA are analyzed by computer simulations. The results show that the iteration, competition, and verification procedures help to search for globally optimal solutions. Further, the MIGA is more robust against falling into local minima and finds a more reliably optimal result than the GA. Conclusion: The positions of the detectors on an RPM for radioactive source localization are optimized using the MIGA. To increase the contrast of the measurements from each detector, a relationship between the source and the detectors is derived by modifying the inverse transport model. Realistic parameters are utilized for accurate simulations. Furthermore, the MIGA is developed to achieve a reliable solution. By utilizing results of this study, an RPM for radioactive source localization has been designed and will be fabricated soon.

목차

ABSTRACT
 Introduction
 Materials and Methods
  1. Optimization using a modified iterative genetic algorithm
  2. Calculation of detector positions for the system
 Results and Discussion
  1. Performance evaluation of the MIGA
 Conclusion
 Acknowledgements
 References

키워드

저자

• Byoungil Jeon [ Neutron Science Research Center, Korea Atomic Energy Research Institute, Daejeon ]
• Jongyul Kim [ Neutron Science Research Center, Korea Atomic Energy Research Institute, Daejeon ]
• Kiseo Lim [ Department of Physics, Myongji University, Yongin, Korea ]
• Younghyun Choi [ Neutron Science Research Center, Korea Atomic Energy Research Institute, Daejeon ]
• Myungkook Moon [ Neutron Science Research Center, Korea Atomic Energy Research Institute, Daejeon ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  방사선방어학회지 [Journal of Radiation Protection and Research]

• 간기

  계간

• pISSN

  2508-1888

• 수록기간

  1976~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 559 DDC 629