Assembly Sequence Optimization based on Improved Genetic Algorithm
According to the assembly sequence optimization problem of mechanical products,the assembly sequence is used as initial population,and the reference set is added to the genetic algorithm,and the intelligent iterative mechanism of the decentralized search algorithm is used to avoid the random nature...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2016-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.09.014 |
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| author | Yang Wei Meng Guanjun Cao Wengang Xie Kunfeng Yu Pengfei |
| author_facet | Yang Wei Meng Guanjun Cao Wengang Xie Kunfeng Yu Pengfei |
| author_sort | Yang Wei |
| collection | DOAJ |
| description | According to the assembly sequence optimization problem of mechanical products,the assembly sequence is used as initial population,and the reference set is added to the genetic algorithm,and the intelligent iterative mechanism of the decentralized search algorithm is used to avoid the random nature of the search.The continuous optimization of the assembly,the optimal solution is obtained. Finally,the effectiveness and feasibility of the improved genetic algorithm is verified through the analysis of the three stage reducer. |
| format | Article |
| id | doaj-art-f1bfbda8c8c94608a20ed15d3f4d0a87 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2016-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-f1bfbda8c8c94608a20ed15d3f4d0a872025-01-10T14:15:57ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-0140677029926273Assembly Sequence Optimization based on Improved Genetic AlgorithmYang WeiMeng GuanjunCao WengangXie KunfengYu PengfeiAccording to the assembly sequence optimization problem of mechanical products,the assembly sequence is used as initial population,and the reference set is added to the genetic algorithm,and the intelligent iterative mechanism of the decentralized search algorithm is used to avoid the random nature of the search.The continuous optimization of the assembly,the optimal solution is obtained. Finally,the effectiveness and feasibility of the improved genetic algorithm is verified through the analysis of the three stage reducer.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.09.014Assembly sequenceCorrelation matrixScatter search algorithmGenetic algorithm |
| spellingShingle | Yang Wei Meng Guanjun Cao Wengang Xie Kunfeng Yu Pengfei Assembly Sequence Optimization based on Improved Genetic Algorithm Jixie chuandong Assembly sequence Correlation matrix Scatter search algorithm Genetic algorithm |
| title | Assembly Sequence Optimization based on Improved Genetic Algorithm |
| title_full | Assembly Sequence Optimization based on Improved Genetic Algorithm |
| title_fullStr | Assembly Sequence Optimization based on Improved Genetic Algorithm |
| title_full_unstemmed | Assembly Sequence Optimization based on Improved Genetic Algorithm |
| title_short | Assembly Sequence Optimization based on Improved Genetic Algorithm |
| title_sort | assembly sequence optimization based on improved genetic algorithm |
| topic | Assembly sequence Correlation matrix Scatter search algorithm Genetic algorithm |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.09.014 |
| work_keys_str_mv | AT yangwei assemblysequenceoptimizationbasedonimprovedgeneticalgorithm AT mengguanjun assemblysequenceoptimizationbasedonimprovedgeneticalgorithm AT caowengang assemblysequenceoptimizationbasedonimprovedgeneticalgorithm AT xiekunfeng assemblysequenceoptimizationbasedonimprovedgeneticalgorithm AT yupengfei assemblysequenceoptimizationbasedonimprovedgeneticalgorithm |