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容器(类型理论)
水准点(测量)
数学优化
启发式
计算机科学
邻里(数学)
理论(学习稳定性)
算法
数学
工程类
机器学习
大地测量学
机械工程
数学分析
地理
作者
Liu Jiamin,Yong Yue,Zongran Dong,Carsten Maple,Malcolm Keech
标识
DOI:10.1016/j.cor.2010.09.002
摘要
The container loading problem, which is significant for a number of industrial sectors, aims to obtain a high space utilisation in the container while satisfying practical constraints. This paper presents a novel hybrid tabu search approach to the container loading problem. A loading heuristic is devised to incorporate heuristic strategies with a handling method for remaining spaces to generate optimal loading arrangements of boxes with stability considered. The tabu search technique, which covers the encoding, evaluation criteria and configuration of neighbourhood and candidate solutions, is used to improve the performance of the loading heuristic. Experimental results with benchmark data show that the hybrid approach provides a better space utilisation than the published approaches under the condition of all loaded boxes with one hundred percent support from below. Moreover, it is shown that the hybrid tabu search can solve problems with the constraints of weight limit and weight distribution with real world data.
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