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Static task graph scheduling using learner Genetic Algorithm

机译:使用学习者遗传算法调度静态任务图调度

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Task graph scheduling is one of the NP-Hard problems. So many classic and non-classic methods are proposed for solution of this problem. One of the crucial methods that, applied for solving this problem is Genetic Algorithm. In this paper we propose a new algorithm that named Learner Genetic Algorithm (LGA). Our proposed algorithm based on Genetic Algorithm, but in new proposed algorithm the Learning Process is attached for Genetic Algorithm. The scheduling resulted from applying our proposed algorithm to some benchmark task graphs are compared with the existing ones.
机译:任务图调度是NP难题之一。提出了许多经典和非经典方法,以解决这个问题。用于解决此问题的重要方法之一是遗传算法。在本文中,我们提出了一种以学习者遗传算法(LGA)命名的新算法。我们基于遗传算法的提出算法,但以新的提出算法为基础遗传算法附加了学习过程。将我们提出的算法应用于某些基准任务图来将调度与现有的调度。

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