High-end equipment batch processor scheduling method and system for improving cuckoo search

A technology of cuckoo search and scheduling method, applied in the field of high-end equipment batch machine scheduling method and system for improving cuckoo search

Active Publication Date: 2018-12-28
HEFEI UNIV OF TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a high-end equipment batch machine scheduling method and system based on improved cuckoo

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  • High-end equipment batch processor scheduling method and system for improving cuckoo search
  • High-end equipment batch processor scheduling method and system for improving cuckoo search
  • High-end equipment batch processor scheduling method and system for improving cuckoo search

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Embodiment Construction

[0105] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0106] A high-end equipment batch machine scheduling method for improving cuckoo search, such as figure 1 Shown, described method comprises the steps:

[0107] 100. Obtain the number of workpieces and the number of machines;

[0108] 110. Set iteration algebra, population size, number of iterations per generation, and global optimal solution;

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Abstract

The embodiment of the invention provides a high-end equipment batch processor scheduling method and system for improving cuckoo search. Start with the number of artifacts, the number of machines and the first predetermined value assign workpieces to each machine, then, the initial population is generated, and the current population is updated by using the Levy flight operation of the cuckoo algorithm, and the improved individual fitness value is calculated and compared with the fitness value of the unimproved individual, so that the individual with large fitness value is reserved; and finally,the improved individual fitness value is calculated and compared with the improved individual fitness value; by using random probability and cross mutation operation, the individuals in the updated population are discarded, and finally, the global optimal solution is output. The technical scheme determines that each job will be assigned to a specific machine, and the batch mode and the batch processing order of the jobs on the machine can minimize the manufacturing span, improve the production efficiency, and solve the parallel machine batch scheduling problem under the condition of learningeffect.

Description

technical field [0001] The invention relates to the field of scheduling, in particular to a scheduling method and system for high-end equipment batch processors that improve cuckoo search. Background technique [0002] In a specific semiconductor production environment, a plurality of semiconductor chips (hereinafter referred to as workpieces) are placed in a special board for welding. The workpieces processed at the same time are called a batch, and machines with such batch processing capabilities are called parallel batch machines. As the factory produces more products and workers gain experience, the later the workpiece starts processing, the shorter the processing time of the workpiece will be. This kind of job scheduling problem with learning effect was first proposed by Ho (1993), which is a typical combinatorial optimization problem. Unlike the traditional scheduling problem where each job has a fixed processing time, in the case of time-dependent learning effects, ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06N3/00
CPCG06N3/006G06Q10/06312
Inventor 刘心报刘思文裴军廖宝玉陆少军孔敏钱晓飞周志平胡朝明
Owner HEFEI UNIV OF TECH
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