摘要
针对任务规模较大与依赖关系较复杂的串行迭代模型中迭代时间求解复杂和最优执行顺序搜索难度大的问题,研究了采用多阶段混合迭代时间计算模型简化串行迭代时间的计算和采用遗传算法优化任务执行顺序的方法。并以智能割草机的设计过程为例,说明该方法的有效性。
Aiming at the complexity of solving iteration time and the difficulty of searching for the optimal execution order in the serial iterative model with larger scale tasks and more complex dependent relationship, the method that the calculation of serial iteration time is simplified by utilizing the calculating model of muhi-stage mixed iterative time and task execution sequence is optimized by utilizing genetic algorithm is studied in this paper. An example of the design process of an intelligent lawn mower is used to explain the effectiveness of this method.
出处
《机械设计与研究》
CSCD
北大核心
2016年第5期88-91,共4页
Machine Design And Research
基金
国家自然科学基金资助项目(51475265)
关键词
串行迭代模型
最优执行顺序
遗传算法
智能割草机
serial iterative model
optimal execution order
genetic algorithm
intelligent lawn mower