A Hybrid Simulated Annealing Algorithm for Container Loading Problem

被引:0
作者
Peng, Yu [1 ]
Zhang, Defu [1 ]
Chin, Francis Y. L.
机构
[1] Xiamen Univ, Dept Comp Sci, Xiamen, Peoples R China
来源
WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09) | 2009年
关键词
Container loading; Heuristics; Simulated annealing; TABU SEARCH ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:919 / 922
页数:4
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