| A hybrid simulated annealing algorithm for container loading problem |
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ACM/SIGEVO Summit on Genetic and Evolutionary Computation
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Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
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Shanghai, China
POSTER SESSION: Poster sessions
table of contents
Pages 919-928
Year of Publication: 2009
ISBN:978-1-60558-326-6
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Downloads (6 Weeks): 21, Downloads (12 Months): 49, Citation Count: 0
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ABSTRACT
This paper presents a hybrid simulated annealing algorithm for container loading problem with boxes of different sizes and single container for loading. A basic heuristic algorithm is introduced to generate feasible solution from a special structure called packing sequence. The hybrid algorithm uses basic heuristic to encode feasible packing solution as packing sequence, and searches in the encoding space to find an approximated optimal solution. The computational experiments on 700 weakly heterogeneous benchmark show that our algorithm outperforms all previous methods in average.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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