Balancing problem of multi-objective mixed-model assembly line based on IWD algorithm

被引：0
作者：
Li M. [1 ,2 ]
Zhang Y. [1 ]
Zhou H. [1 ]
机构：
[1] School of Mechanical Engineering, Xiangtan University, Xiangtan
[2] School of Mathematics and Computational Science, Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2016年 / 22卷 / 04期
关键词：
Intelligent water drop algorithm; Mixed-model assembly line; Pareto dominant; Task relatedness;
D O I：
10.13196/j.cims.2016.04.010
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Based on considering the fluctuations of switching product, for solving mixed-model assembly line balancing problem, an improved Intelligent Water Drop (IWD) algorithm was proposed, which integrated three optimization objectives-workstation number, workload balance and task relatedness. The node metastasis rule of IWD algorithm was improved by adding largest probability leading rule and random search rule. The method of Pareto dominance was used to obtain frontier solution set and provide a heuristic value for each particle, and all particles were conducted global update to enhance global search ability according to the heuristic value. Through the experiment of standard test problems, the results showed that the improved IWD algorithm could solve the multi-objective mixed-model assembly line balancing problem more effectively than genetic algorithm. © 2016, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：965 / 973
页数：8
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