Model for virtual corporations partner selection based on adaptive genetic algorithm
To enhance the efficiency of corporation partner selection and optimization process in virtual corporations, an partner selection process and optimizations model for virtual corporations based on adaptive genetic algorithm were pre-sented. In the model, the adaptive genetic algorithm was used to enh...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74650679/ |
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| _version_ | 1841537629850435584 |
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| author | LI Jian1 JING Bo2 NIU Shao-zhang1 YANG Yi-xian1 |
| author_facet | LI Jian1 JING Bo2 NIU Shao-zhang1 YANG Yi-xian1 |
| author_sort | LI Jian1 |
| collection | DOAJ |
| description | To enhance the efficiency of corporation partner selection and optimization process in virtual corporations, an partner selection process and optimizations model for virtual corporations based on adaptive genetic algorithm were pre-sented. In the model, the adaptive genetic algorithm was used to enhance the efficiency of corporation partner selection and optimization process. The AGA could solve the problem of prematurity and local convergence more compatibly than SGA. In the experiments, two kinds of genetic algorithms were used to be compared with, which were standard genetic algo-rithm（SGA） and adaptive genetic algorithm（AGA）. After 1 000 times of experiments to gain the optimal result, SGA aver-agely needed 166 runs, while the AGA averagely only needed 145 runs. The experimental results show that the AGA can gain the optimal result more efficiently than SGA in corporation partner selection and optimization process. |
| format | Article |
| id | doaj-art-8a0b1b0977c0417cbd091bb853aeb0e0 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-8a0b1b0977c0417cbd091bb853aeb0e02025-01-14T08:28:34ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-0130788374650679Model for virtual corporations partner selection based on adaptive genetic algorithmLI Jian1JING Bo2NIU Shao-zhang1YANG Yi-xian1To enhance the efficiency of corporation partner selection and optimization process in virtual corporations, an partner selection process and optimizations model for virtual corporations based on adaptive genetic algorithm were pre-sented. In the model, the adaptive genetic algorithm was used to enhance the efficiency of corporation partner selection and optimization process. The AGA could solve the problem of prematurity and local convergence more compatibly than SGA. In the experiments, two kinds of genetic algorithms were used to be compared with, which were standard genetic algo-rithm（SGA） and adaptive genetic algorithm（AGA）. After 1 000 times of experiments to gain the optimal result, SGA aver-agely needed 166 runs, while the AGA averagely only needed 145 runs. The experimental results show that the AGA can gain the optimal result more efficiently than SGA in corporation partner selection and optimization process.http://www.joconline.com.cn/zh/article/74650679/virtual corporationpartner selectionadaptive genetic algorithm |
| spellingShingle | LI Jian1 JING Bo2 NIU Shao-zhang1 YANG Yi-xian1 Model for virtual corporations partner selection based on adaptive genetic algorithm Tongxin xuebao virtual corporation partner selection adaptive genetic algorithm |
| title | Model for virtual corporations partner selection based on adaptive genetic algorithm |
| title_full | Model for virtual corporations partner selection based on adaptive genetic algorithm |
| title_fullStr | Model for virtual corporations partner selection based on adaptive genetic algorithm |
| title_full_unstemmed | Model for virtual corporations partner selection based on adaptive genetic algorithm |
| title_short | Model for virtual corporations partner selection based on adaptive genetic algorithm |
| title_sort | model for virtual corporations partner selection based on adaptive genetic algorithm |
| topic | virtual corporation partner selection adaptive genetic algorithm |
| url | http://www.joconline.com.cn/zh/article/74650679/ |
| work_keys_str_mv | AT lijian1 modelforvirtualcorporationspartnerselectionbasedonadaptivegeneticalgorithm AT jingbo2 modelforvirtualcorporationspartnerselectionbasedonadaptivegeneticalgorithm AT niushaozhang1 modelforvirtualcorporationspartnerselectionbasedonadaptivegeneticalgorithm AT yangyixian1 modelforvirtualcorporationspartnerselectionbasedonadaptivegeneticalgorithm |