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A hybrid simulated annealing algorithm for container loading problem
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ACM/SIGEVO Summit on Genetic and Evolutionary Computation archive
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation table of contents
Shanghai, China
POSTER SESSION: Poster sessions table of contents
Pages 919-928  
Year of Publication: 2009
ISBN:978-1-60558-326-6
Authors
Yu Peng  Xiamen University, 361005, Xiamen, China
Defu Zhang  Xiamen University, Xiamen, China
Francis Y.L. Chin  University of Hong Kong, Hong Kong, Hong Kong
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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

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Collaborative Colleagues:
Yu Peng: colleagues
Defu Zhang: colleagues
Francis Y.L. Chin: colleagues