A hybrid heuristic algorithm for the 2D variable-sized bin packing problem

A hybrid heuristic algorithm for the 2D variable-sized bin packing problem
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二维可变尺寸装箱问题的混合启发式算法

DOI:
10.1016/j.ejor.2014.03.049
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发表时间:
2014-10
影响因子:
6.4
通讯作者:
Yain-Whar Si
Yain-Whar Si
中科院分区:
管理学2区
文献类型:
--
作者:
Defu Zhang;Hoong Chuin LAU;XiangXiang Zeng;Yain-Whar Si

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In this paper, we consider the two-dimensional variable-sized bin packing problem (2DVSBPP) with guillotine constraint. 2DVSBPP is a well-known NP-hard optimization problem which has several real applications. A mixed bin packing algorithm (MixPacking) which combines a heuristic packing algorithm with the Best Fit algorithm is proposed to solve the single bin problem, and then a backtracking algorithm which embeds MixPacking is developed to solve the 2DVSBPP. A hybrid heuristic algorithm based on iterative simulated annealing and binary search (named HHA) is then developed to further improve the results of our Backtracking algorithm. Computational experiments on the benchmark instances for 2DVSBPP show that HHA has achieved good results and outperforms existing algorithms.
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