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| 基于遗传算法优化网络权值的装箱问题研究 | |
| 引用本文： | 赵晓青,郝飞龙,戎晓剑. 基于遗传算法优化网络权值的装箱问题研究[J]. 军械工程学院学报, 2008, 20(5): 55-57,62 |
| 作者姓名： | 赵晓青 郝飞龙 戎晓剑 |
| 作者单位： | [1]石家庄铁路职业技术学院基础部,河北石家庄050041 [2]军械工程学院基础部,河北石家庄050003 [3]石家庄机械化步兵学院教研部,河北石家庄050083 |
| 摘 要： | 通过对Hopfield网络模型的研究，把一种类型的装箱问题转化成Hopfield网络模型，再利用遗传算法优化Hopfield网络中的连接权值，形成混合优化算法求解装箱问题，最后通过实例验证了该算法的有效性。 |
| 关 键 词： | Hopfield网络模型 装箱问题 混合优化算法 |
Packing Problem Research Based on Optimization Network Weight of Genetic Algorithm |
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| Affiliation: | ZHAO Xiao-qing, HAO Fei-long, RONG Xiao-jian( Department of Basic Courses, Institute of Shijiazhuang Railway Technology, Shijiazhuang 050041, China; 2. Department of Basic Courses, Ordnance Engineering College, Shijiazhuang 050003, China; 3. Department of Research, Shijiazhuang Mechanized Infantry Academy, Shijiazhuang 050083, China) |
| Abstract: | Hopfield network model has been further studied, and the type of packing problem has been changed into Hopfield network model. We use Genetic algorithms to optimize the connection weights of Hopfield network and form a Hybrid optimization algorithm to solve the packing problem. Finally, examples demonstrate the effectiveness of the algorithm. |
| Keywords: | Hopfield network model packing problem hybrid optimization algorithm |
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