.png){kind=icon}
返回
Freights loading optimization with balanced and unconcentrated loading constraints
.png){kind=icon}
PRE
AI
DOI：10.1007/s11771-014-2313-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The optimization of high density and concentrated-weight freights loading requires an even distribution of the freight's weight and unconcentrated loading on the floor of the car. Based on the characteristics of concentrated-weight category freights, an improvement method is put forward to build freight towers and a greedy-construction algorithm is utilized based on heuristic information for the initial layout. Then a feasibility analysis is performed to judge if the balanced and unconcentrated loading constrains are reached. Through introducing optimization or adjustment methods, an overall optimal solution can be obtained. Experiments are conducted using data generated from real cases showing the effectiveness of our approach: volume utility ratio of 90.4% and load capacity utility ratio of 86.7% which is comparably even to the packing of the general freights.
Keyword:
loading layout
balancing constraint
concentrated loading
bending moment
construction algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.4
论文数:
5.2K
被引数:
1.0W
机构
引用论文
.png){kind=icon}
A Dual-System Variable-Grain Cooperative Coevolutionary Algorithm: Satellite-Module Layout Design
PREAI
分享收藏
没有更多内容
没有更多内容