| 自适应遗传算法在流水车间优化调度中的应用 |
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| 引用本文： | 黄伟婷. 自适应遗传算法在流水车间优化调度中的应用[J]. 计算机与现代化, 2010, 0(9): 155-157. DOI: 10.3969/j.issn.1006-2475.2010.09.045 |
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| 作者姓名： | 黄伟婷 |
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| 作者单位： | 漳州师范学院计算机科学与工程系,福建,漳州,363000 |
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| 摘 要： | 针对流水车间的优化调度问题,本文设计一种自适应遗传算法,可以根据个体的特征值自动调整其交叉概率和变异概率,并用两个经典算例对其有效性进行验证。仿真实验表明,该算法具有较好的全局搜索能力和较快的收敛速度,具有一定的工程应用价值。
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| 关 键 词： | 自适应 遗传算法 流水车间 优化调度 |
Application of Adaptive Genetic Algorithm in Flow-shop Optimal Scheduling |
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| HUANG Wei-ting. Application of Adaptive Genetic Algorithm in Flow-shop Optimal Scheduling[J]. Computer and Modernization, 2010, 0(9): 155-157. DOI: 10.3969/j.issn.1006-2475.2010.09.045 |
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| Authors: | HUANG Wei-ting |
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| Affiliation: | HUANG Wei-ting (Department of Computer Science and Engineering,Zhangzhou Normal University,Zhangzhou 363000,China) |
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| Abstract: | For the problem of flow-shop optimal scheduling,an adaptive genetic algorithm is designed.It can automatically adjust crossover probability and mutation probability according to individual characteristics,and its effectiveness is verified by two classic examples.Simulation results show that this algorithm has good global searching ability and convergence speed,so it has certain engineering value. |
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| Keywords: | adaptive genetic algorithm flow-shop optimal scheduling |
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