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OliverYangMin committed Aug 1, 2019
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# Introduction
## Reference
F. Parreño, Alvarez-Valdes R , Tamarit J M , et al. A Maximal-Space Algorithm for the Container Loading Problem[J]. INFORMS Journal on Computing, 2008, 20.
Parreño F, Alvarez-Valdes R, Oliveira J F, et al. Neighborhood structures for the container loading problem: a VNS implementation[J]. Journal of Heuristics, 2010, 16(1):1-22.
F. Parreño, Alvarez-Valdes R , Oliveira J F , et al. A hybrid GRASP/VND algorithm for two- and three-dimensional bin packing[J]. Annals of Operations Research, 2010, 179(1):203-220.
Alvarez-Valdes R , Parre?O F , Tamarit J M . A GRASP/Path Relinking algorithm for two- and three-dimensional multiple bin-size bin packing problems[J]. Computers & Operations Research, 2013, 40(12):3081-3090.
- F. Parreño, Alvarez-Valdes R , Tamarit J M , et al. A Maximal-Space Algorithm for the Container Loading Problem[J]. INFORMS Journal on Computing, 2008, 20.
- Parreño F, Alvarez-Valdes R, Oliveira J F, et al. Neighborhood structures for the container loading problem: a VNS implementation[J]. - Journal of Heuristics, 2010, 16(1):1-22.
- F. Parreño, Alvarez-Valdes R , Oliveira J F , et al. A hybrid GRASP/VND algorithm for two- and three-dimensional bin packing[J]. Annals of Operations Research, 2010, 179(1):203-220.
- Alvarez-Valdes R , Parre?O F , Tamarit J M . A GRASP/Path Relinking algorithm for two- and three-dimensional multiple bin-size bin packing problems[J]. Computers & Operations Research, 2013, 40(12):3081-3090.
## Benchmark
Bischoff E E , Ratcliff M S W . Issues in the development of approaches to container loading[J]. Omega, 1995, 23(4):377-390.
- Bischoff E E , Ratcliff M S W . Issues in the development of approaches to container loading[J]. Omega, 1995, 23(4):377-390.

2019-08-01
为应对上汽比赛的场景,需要再优化和改进。
Expand All @@ -14,12 +14,12 @@ Bischoff E E , Ratcliff M S W . Issues in the development of approaches to conta
改成bin-packing完成
2019-05-16
两个方向
1.GRASP
2.VNS
1. GRASP
2. VNS
ToDo:
1.~grasp的improvement~
2.~grasp 框架~
3.邻域结构
1. ~grasp的improvement~
2. ~grasp 框架~
3. 邻域结构

2019-05-15
基本测试完毕,效果优良,mean 90%+, CPU time 1s-
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