Genetic algorithm-based resource scheduling method for ISAR imaging
A genetic algorithm and resource scheduling technology, applied in the field of genetic algorithm-based resource scheduling for inverse synthetic aperture radar ISAR imaging, can solve problems such as scheduling failure, reduced task success rate, and unstable set evaluation value of ISAR imaging tasks. To achieve the effect of improving the success rate of scheduling and improving stability
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[0049] The invention will be further described below in conjunction with the accompanying drawings.
[0050] Refer to attached figure 1 , to further describe the specific steps of the present invention.
[0051] Step 1, generate a scheduling sequence.
[0052] Randomly arrange the ISAR imaging task sequence [1,2,······,K] to generate N different scheduling sequences, where K represents the total number of ISAR imaging tasks, and N represents the selection between [20,100] an integer value of .
[0053] Set the genetic number to initialize the genetic algorithm to 1.
[0054] Step 2, calculate the evaluation value of each scheduling sequence.
[0055] (2.1) Select an unselected scheduling sequence from the N scheduling sequences as the current scheduling sequence.
[0056] (2.2) Use the heuristic search method to obtain the set of successfully scheduled ISAR imaging tasks in the current scheduling sequence, the launch time of each pulse in each ISAR imaging task in the set...
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