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装箱问题的算法及最新进展

本站小编 Free考研考试/2021-12-27

刘明明1, 童小娇2, 戴彧虹3
1. 湘潭大学数学与计算科学学院, 湖南湘潭 411105;
2. 湖南第一师范学院数学与计算科学学院, 长沙 410000;
3. 中国科学院数学与系统科学研究院, 北京 100190
收稿日期:2015-11-12出版日期:2016-08-15发布日期:2016-09-08


基金资助:童小娇受国家自然科学基金(批准号11171095和71371065)资助;戴彧虹受国家自然科学基金(批准号11331012和71331001)以及973项目基金(No.2015CB856000)资助.


RECENT DEVELOPMENTS IN ALGORITHMS FOR PACKING PROBLEMS

Liu Mingming1, Tong Xiaojiao2, Dai Yuhong3
1. College of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China;
2. College of Mathematics and Computational Science, Hunan First Normal University, Changsha 410000, China;
3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Received:2015-11-12Online:2016-08-15Published:2016-09-08







摘要



编辑推荐
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装箱问题在经济社会发展中扮演着重要的角色,该问题研究的是寻找较好的布局方式,尽可能实现利益的最大化.装箱问题具有NP-难性质,其理论和应用研究存在一定的挑战,但因其有广泛的应用背景而受到研究者高度的关注.本文主要总结近几十年来装箱问题的研究成果,特别针对一维、二维和三维单目标装箱问题和算法,以及多目标装箱问题的算法进行概括和总结,并提出装箱问题算法上有待进一步的研究工作.
MR(2010)主题分类:
90C11
97N80

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