TY - JOUR
T1 - Optimization of inspection for dual contraband using a genetic algorithm
AU - Van Weele, Stuart
AU - Ramirez-Marquez, Jose Emmanuel
PY - 2012/10
Y1 - 2012/10
N2 - Explosives, weapons of mass destruction and other contraband smuggled via cargo containers present a significant threat to national security. To combat this threat cargo containers are inspected for various types of contraband upon entering the country. This article presents a genetic algorithm-based technique for developing an optimum inspection strategy capable of detecting two different types of contraband. Experimentation on the behavior of the optimization algorithm is presented, demonstrating how this technique can be used to optimize an inspection strategy for detecting chemical explosives and radiological material, the components of either a nuclear or "dirty" bomb.
AB - Explosives, weapons of mass destruction and other contraband smuggled via cargo containers present a significant threat to national security. To combat this threat cargo containers are inspected for various types of contraband upon entering the country. This article presents a genetic algorithm-based technique for developing an optimum inspection strategy capable of detecting two different types of contraband. Experimentation on the behavior of the optimization algorithm is presented, demonstrating how this technique can be used to optimize an inspection strategy for detecting chemical explosives and radiological material, the components of either a nuclear or "dirty" bomb.
KW - Container inspection
KW - genetic algorithms
KW - optimal inspection
KW - optimization
KW - reliability
UR - http://www.scopus.com/inward/record.url?scp=84873897680&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873897680&partnerID=8YFLogxK
U2 - 10.1177/1748006X12458386
DO - 10.1177/1748006X12458386
M3 - Article
AN - SCOPUS:84873897680
SN - 1748-006X
VL - 226
SP - 508
EP - 525
JO - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
JF - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
IS - 5
ER -