JACIII Vol.11 No.1 pp. 51-60
doi: 10.20965/jaciii.2007.p0051


Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization

Sadaaki Miyamoto*, Yasunori Endo*, Koki Hanzawa**,
and Yukihiro Hamasuna**

*Department of Risk Engineering, Faculty of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

**Master’s Program in Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

October 31, 2005
March 31, 2006
January 20, 2007
container loading, metaheuristic optimization, knowledge system
A family of automatic container loading problems is studied and algorithms are proposed. The algorithms are constructed with metaheuristics and include flat and/or vertical loading schemes, loading efficiency, stability of loaded objects, and computational requirement. Commonsense and expert knowledge incorporation is considered to combine with metaheuristics. Handling groups of objects in a metaheuristic scheme is moreover considered. Numerical examples are given.
Cite this article as:
S. Miyamoto, Y. Endo, K. Hanzawa, and Y. Hamasuna, “Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization,” J. Adv. Comput. Intell. Intell. Inform., Vol.11 No.1, pp. 51-60, 2007.
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