A hybrid ant colony and simulated annealing algorithm to solve the container stacking problem at seaport terminal

Riadh Moussi, Jalel Euchi, Adnan Yassine and Ndèye Fatma Ndiaye

International Journal of Operational Research, 2015, vol. 24, issue 4, 399-422

Abstract: In this paper, we study the container stacking problem (CSP) which is one of the most important problems in marine terminal. An optimisation model is developed in order to determine the optimal storage strategy for various container-handling schedules. The objective of the model is to minimise the distance between vessel berthing location and the storage positions of containers. The CSP is solved by an efficient hybrid ant colony and simulated annealing (HAC/SA). The performance of the algorithm proposed is verified by a comparison with ILOG CPLEX for small-sized instances. In addition, numerical results for real-sized instances proved the efficiency of the algorithm.

Keywords: container ports; container terminals; container stacking problem; CSP; ant colony optimisation; ACO; simulated annealing; seaport terminals; storage strategy; container handling; handling scheduling; vessel berthing location; container localisation. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.inderscience.com/link.php?id=72723 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:24:y:2015:i:4:p:399-422

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().