| 基于遗传算法的制造流程价值优化 |
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| 引用本文： | 杨青 邱菀华. 基于遗传算法的制造流程价值优化[J]. 系统工程学报, 2005, 20(5): 524-529 |
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| 作者姓名： | 杨青 邱菀华 |
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| 作者单位： | [1]北京航空航天大学经济管理学院,北京100083 [2]北京科技大学管理学院,北京100083 |
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| 基金项目： | 国家自然科学基金资助项目（70372011）;航空基金资助项目（20030006009）. |
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| 摘 要： | 为解决最短路线动态规划的维数障碍及模式欺骗性问题，提出了一种数组链染色体编码方式及基于自适应性变异概率和模拟退火惩罚函数法的适应性遗传算法（AGA），仿真测试验证了该算法的有效性．针对某发动机壳体制造工艺流程优化问题，采用质量功能展开法得到了各工艺方案的价值，以工艺路线的总价值最大为目标函数、总成本为约束条件，采用AGA得到了一条最佳工艺路线．
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| 关 键 词： | 动态规划 遗传算法 价值优化 制造流程 |
| 文章编号： | 1000-5781（2005）05-0524-06 |
| 收稿时间： | 2004-06-15 |
| 修稿时间： | 2004-06-152005-07-06 |
Manufacture process value optimization based on genetic algorithms |
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| YANG Qing, QIU Wan-hua. Manufacture process value optimization based on genetic algorithms[J]. Journal of Systems Engineering, 2005, 20(5): 524-529 |
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| Authors: | YANG Qing QIU Wan-hua |
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| Affiliation: | 1. School of Economics and Management, Beihang University, Beijing 100083, China; 2. Management School, University of Science and Technology Beijing, Beijing 100083, China |
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| Abstract: | To resolve the dimension obstacle and mode deceive problem of shortest route dynamic programming,a array chain chromosome coding and an adaptive GA(AGA) that combines the self-adaptive mutation probability and simulation anneal punishment function are proposed.Simulation calculation shows its availability.For the problem of shell manufacturing process optimization of a certain rocket motor,the paper uses the method of Quality Function Deployment(QFD) to get the value of all process schemes.Setting the value of process route as objective and cost as constraint,an optimization process is obtained by using AGA. |
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| Keywords: | dynamic programming genetic algorithms value optimization manufacture process |
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