|本期目录/Table of Contents|

[1]高 林,姜旭辉,朱庆港.改进自适应蚁群算法求解集装箱装载瓦楞纸板问题[J].工业仪表与自动化装置,2021,(01):117-122.[doi:1000-0682(2021)01-0000-00]
 GAO Lin,JIANG Xuhui,ZHU Qinggang.Improved adaptive ant colony algorithm for container loading corrugated board problem[J].Industrial Instrumentation & Automation,2021,(01):117-122.[doi:1000-0682(2021)01-0000-00]
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改进自适应蚁群算法求解集装箱装载瓦楞纸板问题

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2021年01期
页码:
117-122
栏目:
出版日期:
2021-02-15

文章信息/Info

Title:
Improved adaptive ant colony algorithm for container loading corrugated board problem
作者:
高 林姜旭辉朱庆港
青岛科技大学 自动化与电子工程学院,山东 青岛 266061
Author(s):
GAO Lin JIANG Xuhui ZHU Qinggang
College of Automation and Electronical Engineering, Qingdao University of Science and Technology, Shandong Qingdao 266061, China
关键词:
瓦楞纸板集装箱装载组合优化自适应蚁群算法启发式算法
Keywords:
corrugated board container loading combinatorial optimization adaptive ant colony algorithm heuristic algorithm
分类号:
TP391.9
DOI:
1000-0682(2021)01-0000-00
文献标志码:
A
摘要:
集装箱装载瓦楞纸板问题是一个复杂组合优化问题,针对该问题,在满足基本的装载要求和约束条件下,充分利用自适应蚁群算法的强搜索能力和启发式算法对具体问题的针对性,将自适应蚁群算法和启发式算法结合,提出一种改进的自适应蚁群算法,求解出了最优装载方案。对纸板装载问题建立模型,提出目标函数并给出约束条件;根据实际情况提出启发式规则,将其与自适应蚁群算法进行结合;使用实例进行仿真验证。将仿真结果与实际情况进行对比,装载体积率表现出明显的提高,证明了该算法能够提高瓦楞纸板装载空间利用率,节省了人力,大大提高了工作效率。
Abstract:
The problem of container loading corrugated board is a complex combinatorial optimization problem. Aiming at this problem, under the basic loading requirements and constraints, this paper makes full use of the strong searching ability of adaptive ant colony algorithm and heuristic algorithm is targeted to specific problems.Combining the ant colony algorithm with the heuristic algorithm,an improved adaptive ant colony algorithm is proposed to solve the optimal loading scheme. Modelling the cardboard loading problem, propose the objective function and give constraints, heuristic rules are proposed according to the actual situation and combined with the adaptive ant colony algorithm,use the example for simulation verification.The simulation results are compared with the actual situation and the loading volume rate shows a significant improvement, which proves that the algorithm can improve the utilization of corrugated board loading space, save manpower and greatly improve work efficiency.

参考文献/References:

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相似文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-10-10
基金项目:
山东省自然科学基金(ZR2014FL018);
青岛科技大学博士科研基金(010022530);
教育部产学合作协同育人项目(施耐德公司,2018第一批)
作者简介:
高林(1976),男,黑龙江密山市人,副教授,博士后,研究生导师,主要研究方向为大数据技术,工业互联网。
更新日期/Last Update: 1900-01-01