Multi-target workshop scheduling method based on multicolor set genetic algorithm

A genetic algorithm and workshop scheduling technology, applied in the field of job scheduling, can solve problems such as rarely considering the relationship between process and scheduling, and achieve the effects of narrowing the search range, reducing complexity, and improving solution efficiency and accuracy

Inactive Publication Date: 2017-06-20
SHAANXI UNIV OF SCI & TECH
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Problems solved by technology

[0002] At present, the optimal solution to the single-objective scheduling problem rarely considers t

Method used

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  • Multi-target workshop scheduling method based on multicolor set genetic algorithm
  • Multi-target workshop scheduling method based on multicolor set genetic algorithm
  • Multi-target workshop scheduling method based on multicolor set genetic algorithm

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Embodiment

[0102] The following uses a 3×6×8 flexible job shop scheduling problem case (3 types of workpieces, corresponding to a maximum number of processes of 6, processed on 8 equipment) to discuss the solution of the multi-objective scheduling problem by the improved genetic algorithm. The processing task information table is shown in Table 1, and the relevant parameters are: unit time cost, equipment 1, 20 yuan / hour; equipment 2, 33 yuan / hour; equipment 3, 60 yuan / hour; equipment 4, 72 yuan / hour ; Equipment 5,45 yuan / hour; Equipment 6,100 yuan / hour; Equipment 7,126 yuan / hour; Equipment 8,179 yuan / hour.

[0103] Table 1 Processing task information table

[0104]

[0105] The purpose of scheduling is to simultaneously achieve the three optimization objectives of minimizing the maximum completion time, minimizing production costs, and maximizing the process capability index.

[0106] 1 chromosome code

[0107] The principle of the chromosome coding method of multi-objective schedu...

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Abstract

The invention discloses a multi-target workshop scheduling method based on a multicolor set genetic algorithm, and the method comprises the steps: converting multi-target optimization into single-target optimization according to constraint conditions and a target function through a random weight coefficient method; building a process-equipment contour matrix constraint mode, carrying out the chromosome coding, and reducing the size of a GA search range. The method can assign a reasonable weight for each target according to the management demands through employing a preference matrix, and enables a multi-target scheduling problem to be converted into a single-target scheduling problem, thereby reducing the scheduling complexity. In addition, the method carries out the chromosome coding through the process-equipment contour matrix constraint mode, enables the size of the GA search range to be precisely and effectively reduced, and improves the solving efficiency and precision.

Description

【Technical field】 [0001] The invention belongs to the technical field of job scheduling, and relates to a multi-objective workshop scheduling method based on a multi-color set genetic algorithm. 【Background technique】 [0002] At present, the optimal solution to the single-objective scheduling problem seldom considers the relationship between the process and scheduling and how to design the relationship between them. In actual production, we often encounter different job scheduling objectives: if there are a batch of processing tasks, some workpieces must meet the customer's delivery date requirements, some workpieces must be completed as soon as possible, and some workpieces require the lowest possible production and processing costs , so the workshop scheduling must take into account the scheduling objectives of all workpieces. 【Content of invention】 [0003] The purpose of the present invention is to overcome the shortcoming of above-mentioned prior art, provide a kind...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06N3/12
CPCG06N3/126G06Q10/0631
Inventor 栾飞魏梦珂李彬彦傅卫平王雯来春为邓明明
Owner SHAANXI UNIV OF SCI & TECH
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