TY - JOUR
T1 - Multiobjective optimization of a port-of-entry inspection policy
AU - Young, Christina M.
AU - Li, Mingyu
AU - Zhu, Yada
AU - Xie, Minge
AU - Elsayed, Elsayed A.
AU - Asamov, Tsvetan
N1 - Funding Information:
Manuscript received September 12, 2008; revised February 15, 2009 and March 31, 2009. First published July 07, 2009; current version published April 07, 2010. This paper was recommended for publication by Associate Editor D.-H. Lee and Editor Y. Narahari upon evaluation of the reviewers’ comments. This work was supported in part by the Office of Naval Research (ONR) under Grant N00014-05-1-0237 and Grant N00014-07-1-029, and in part by the National Science Foundation (NSF) under Grant NSFSES 05-18543, and in part by the NSA under Grant H98230-08-1-0104.
Funding Information:
Manuscript received August 13, 2008; revised January 21, 2009. First published July 07, 2009; current version published April 07, 2010. This paper was recommended for publication by Associate Editor J. Xiao and Editor V. Kumar upon evaluation of the reviewers’ comments. This work was supported in part by Iowa State University and in part by the National Science Foundation under CAREER Award IIS-0133681.
PY - 2010/4
Y1 - 2010/4
N2 - At the port-of-entry, containers are inspected through a specific sequence of sensor stations to detect the presence of radioactive materials, biological and chemical agents, and other illegal cargo. The inspection policy, which includes the sequence in which sensors are applied and the threshold levels used at the inspection stations, affects the probability of misclassifying a container as well as the cost and time spent in inspection. This work is an extension of a paper by Elsayed , which considers an inspection system operating with a Boolean decision function combining station results. In this paper, we present a multiobjective optimization approach to determine the optimal sensor arrangement and threshold levels, while considering cost and time. The total cost includes cost incurred by misclassification errors and the total expected cost of inspection, while the time represents the total expected time a container spends in the inspection system. Examples which apply the approach in various systems are presented.
AB - At the port-of-entry, containers are inspected through a specific sequence of sensor stations to detect the presence of radioactive materials, biological and chemical agents, and other illegal cargo. The inspection policy, which includes the sequence in which sensors are applied and the threshold levels used at the inspection stations, affects the probability of misclassifying a container as well as the cost and time spent in inspection. This work is an extension of a paper by Elsayed , which considers an inspection system operating with a Boolean decision function combining station results. In this paper, we present a multiobjective optimization approach to determine the optimal sensor arrangement and threshold levels, while considering cost and time. The total cost includes cost incurred by misclassification errors and the total expected cost of inspection, while the time represents the total expected time a container spends in the inspection system. Examples which apply the approach in various systems are presented.
KW - Boolean function
KW - Multiobjective
KW - Probability of false accept
KW - Probability of false reject
KW - Sensor threshold levels
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U2 - 10.1109/TASE.2009.2022172
DO - 10.1109/TASE.2009.2022172
M3 - Article
AN - SCOPUS:77950861263
SN - 1545-5955
VL - 7
SP - 392
EP - 400
JO - IEEE Transactions on Automation Science and Engineering
JF - IEEE Transactions on Automation Science and Engineering
IS - 2
M1 - 5159365
ER -