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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。
In order to solve the problem that the iterative time is complicated and the optimal execution sequence search is difficult in the serial iterative model with larger task and more complex dependencies, the computation and adoption of simplifying the serial iteration time using multi-stage hybrid iterative time computation model Method of Genetic Algorithm Optimizing Task Execution Order. Taking the design process of intelligent mower as an example, the effectiveness of this method is illustrated.