Research on a kind of assembly sequence planning based on immune algorithm and particle swarm optimization algorithm

被引：35
|
作者：
Zhang, Hanye [1 ]
Liu, Haijiang [1 ]
Li, Lingyu [1 ]
机构：
[1] Tongji Univ, Sch Mech Engn, Shanghai 201804, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2014年 / 71卷 / 5-8期
关键词：
Assembly sequence planning (ASP); Immune particle swarmoptimization algorithm (IPSO); Geometric feasibility; Coherence; Processability; MECHANICAL ASSEMBLIES; HIERARCHICAL APPROACH; GENETIC ALGORITHM; GENERATION;
D O I：
10.1007/s00170-013-5513-9
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to solve the assembly sequence planning of a certain type of product (e.g., product is composed of different types of parts and each type has several identical parts), first of all, the rule of nomenclature for this type of product is designed. Secondly, geometric feasibility and coherence are designed as constraint conditions, and these two constrains and processability are combined with each other as the objective function. Finally, the proposed novel method under the name of immune particle swarm optimization algorithm is tested. The results show that the proposed immune particle swarm algorithm is an efficient approach to solve the assembly sequence planning problem.
引用
收藏
页码：795 / 808
页数：14
相关论文
共 50 条
  • [1] Research on a kind of assembly sequence planning based on immune algorithm and particle swarm optimization algorithm
    Hanye Zhang
    Haijiang Liu
    Lingyu Li
    The International Journal of Advanced Manufacturing Technology, 2014, 71 : 795 - 808
  • [2] Research on a kind of assembly sequence planning based on immune algorithm and particle swarm optimization algorithm
    20141117457302
    Zhang, H. (tzgjzhy@163.com), 1600, Springer London (71): : 5 - 8
  • [3] A Discrete Particle Swarm Optimization Algorithm for Assembly Sequence Planning
    Lv, Hongguang
    Lu, Cong
    PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT, 2009, : 1119 - 1122
  • [4] Assembly sequence planning based on particle swarm optimization algorithm for complex product
    Yu, Hong
    Wang, Cheng-En
    Yu, Jia-Peng
    Yuan, Hui
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2010, 31 (02): : 261 - 264
  • [5] Assembly Sequence Intelligent Planning based on Improved Particle Swarm Optimization Algorithm
    Zhang, Wei
    MANUFACTURING TECHNOLOGY, 2023, 23 (04): : 557 - 563
  • [6] Multi station assembly sequence planning based on particle swarm optimization algorithm
    Wang, Fengchan
    Sun, Youchao
    Li, Na
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2012, 48 (09): : 155 - 162
  • [7] A particle swarm algorithm for assembly sequence planning
    Xing, Yanfeng
    Wang, Yansong
    Zhao, Xiaoyu
    MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-5, 2010, 97-101 : 3243 - 3246
  • [8] An assembly sequence planning approach with a discrete particle swarm optimization algorithm
    Lv, HongGuang
    Lu, Cong
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 50 (5-8): : 761 - 770
  • [9] An assembly sequence planning approach with a discrete particle swarm optimization algorithm
    HongGuang Lv
    Cong Lu
    The International Journal of Advanced Manufacturing Technology, 2010, 50 : 761 - 770
  • [10] An Assembly Line Multi-Station Assembly Sequence Planning Method Based on Particle Swarm Optimization Algorithm
    Song, Shuan-Jun
    Qiu, Cheng-Hong
    Peng, Long-Guang
    Hu, Sheng
    Journal of Computers (Taiwan), 2022, 33 (01) : 115 - 125
12345