An optimization approach for security operations in a container seaport
An optimization approach for security operations in a container seaport
The terrorist attacks of September 11th, 2001 have increased the needs to implement security inspection of container transport. This paper aims to evaluate the impact of imposing container inspection procedures on container port operations, and to optimize port throughput at the same time. A mathematical model is proposed to characterize the container operation. A genetic algorithm is then presented for optimal solution, to minimize the aggregate delays for outbound vessels.
container, genetic algorithm, optimization, security
4159-4162
Song, Liying
a291ed5c-0853-4668-8a96-c0e79bc557f4
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
2011
Song, Liying
a291ed5c-0853-4668-8a96-c0e79bc557f4
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Song, Liying and Cherrett, Tom
(2011)
An optimization approach for security operations in a container seaport.
In 2011 International Conference on Electronics, Communications and Control, ICECC 2011 - Proceedings.
IEEE.
.
(doi:10.1109/ICECC.2011.6067605).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The terrorist attacks of September 11th, 2001 have increased the needs to implement security inspection of container transport. This paper aims to evaluate the impact of imposing container inspection procedures on container port operations, and to optimize port throughput at the same time. A mathematical model is proposed to characterize the container operation. A genetic algorithm is then presented for optimal solution, to minimize the aggregate delays for outbound vessels.
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Published date: 2011
Venue - Dates:
2011 International Conference on Electronics, Communications and Control, ICECC 2011, , Ningbo, China, 2011-09-09 - 2011-09-11
Keywords:
container, genetic algorithm, optimization, security
Identifiers
Local EPrints ID: 420147
URI: http://eprints.soton.ac.uk/id/eprint/420147
PURE UUID: aedabd94-d59d-4420-b646-12205b1df071
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Date deposited: 27 Apr 2018 16:30
Last modified: 16 Mar 2024 02:48
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Author:
Liying Song
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