Abstract
The service time of the container vessels is the main indicator of the competitiveness of a maritime container terminal. This work proposes two Variable Neighbourhood Searches (VNS) in order to tackle the Tactical Berth Allocation Problem and the Quay Crane Scheduling Problem, which are the main operational problems in the seaside. These metaheuristics are integrated into a framework that provides an overall planning for the vessels arrived to port within a given time horizon. The performance of the proposed VNSs is compared with the most highlighted solution methods published in the related literature. In addition, the effectiveness of the framework is assessed in real size environments.
Original language | English |
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Title of host publication | Advances in Computational Intelligence |
Subtitle of host publication | 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer |
Pages | 28-35 |
Number of pages | 8 |
ISBN (Electronic) | 978-3-642-38682-4 |
ISBN (Print) | 978-3-642-38681-7 |
DOIs | |
Publication status | Published - 2013 |
Event | 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 - Puerto de la Cruz, Tenerife, Spain Duration: 12 Jul 2013 → 14 Jul 2013 Conference number: 12 http://iwann.ugr.es/2013/iwann13.php |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 7903 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 |
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Abbreviated title | IWANN |
Country/Territory | Spain |
City | Puerto de la Cruz, Tenerife |
Period | 12/07/13 → 14/07/13 |
Internet address |
Keywords
- Metaheuristic
- Container Terminal
- Seaside Operations