| 基于蚁群算法的连续时间生产计划优化 |
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| 引用本文： | 张新敏,杜厚东,李志强. 基于蚁群算法的连续时间生产计划优化[J]. 沈阳工业大学学报, 2007, 29(3): 247-249 |
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| 作者姓名： | 张新敏 杜厚东 李志强 |
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| 作者单位： | 沈阳工业大学,机械工程学院,沈阳,110023 |
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| 摘 要： | 针对连续时间生产计划问题，在生产速率、需求率和库存水平等都确定的前提下建立相应的数学模型，并将蚁群算法引入到连续时间生产计划的优化中，利用蚁群算法的自适应、全局优化、并行分布式处理等特性在整个生产计划的可行解中寻找最优解.通过对连续时间生产计划优化问题的计算表明：该方法比遗传算法具有更好的收敛性和更快的计算速度.
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| 关 键 词： | 连续时间 生产计划 优化 蚁群算法 进化算法 |
| 文章编号： | 1000-1646（2007）03-0247-03 |
| 修稿时间： | 2005-12-08 |
Continuous time production planning optimization based on ant colony algorithm |
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| ZHANG Xin-min,DU Hou-dong,LI Zhi-qiang. Continuous time production planning optimization based on ant colony algorithm[J]. Journal of Shenyang University of Technology, 2007, 29(3): 247-249 |
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| Authors: | ZHANG Xin-min DU Hou-dong LI Zhi-qiang |
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| Affiliation: | School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110023, China |
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| Abstract: | Ant colony algorithm was introduced into continuous time production planning optimization.With advantages such as adaptability,global optimization and parallel distributed processing,the algorithm was applied to search for the optimized solution within feasible solution of production planning.The application in continuous time production planning shows that the algorithm is superior to genetic algorithm in convergence and computing speed. |
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| Keywords: | continuous time production planning optimization ant colony algorithm evolutional algorithm |
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