A multi-objective cloud workflow scheduling method based on improved non-dominated genetic algorithm
A technology of genetic algorithm and scheduling method, applied in the field of multi-objective cloud workflow scheduling based on improved non-dominated genetic algorithm, multi-objective cloud workflow scheduling, can solve complex workflow scheduling and other problems, to improve possibility and accuracy sex, efficiency-enhancing effect
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[0020] The method of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0021] The two specific optimization objectives considered in this method are the total execution time and cost of the entire workflow. Now, the simple cloud workflow scheduling problem with 12 subtasks in the workflow, 4 virtual machines and 6 individuals in the population is given as For example, the specific implementation of the method of the present invention is described in detail. Then, aiming at more complex workflow scheduling problems, the scheduling performance of the method of the present invention is further tested.
[0022] A multi-objective cloud workflow scheduling method based on improved non-dominated genetic algorithm, such as figure 1 shown, including the following steps:
[0023] Step 1. Population initialization. That is, each chromosome is initialized to form an initial population.
[0024] Wherein, the chromosome init...
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