Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Flexible job shop scheduling method based on multi-species coevolution

A workshop scheduling and flexible operation technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as complex solution space, insufficient algorithm performance, and difficulty in finding high-quality scheduling solutions, and achieve simple solution space , the effect of maintaining diversity

Inactive Publication Date: 2010-12-01
HUAZHONG UNIV OF SCI & TECH
View PDF0 Cites 49 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The genetic algorithm has a strong global search ability, but there are still the following problems in solving the flexible job shop scheduling problem: the flexible job shop scheduling problem contains two sub-problems (machine selection sub-problem and process sequencing sub-problem), these two sub-problems have Different characteristics, if the two are optimized together, the solution space of the problem is more complex, the performance of the algorithm cannot be fully utilized, and it is difficult to find a high-quality scheduling scheme

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Flexible job shop scheduling method based on multi-species coevolution
  • Flexible job shop scheduling method based on multi-species coevolution
  • Flexible job shop scheduling method based on multi-species coevolution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0033] refer to figure 1 and figure 2 , a flexible job shop scheduling method based on multi-population co-evolution, including the following steps:

[0034] Step 1, parameter setting:

[0035] Assuming that the number of workpieces is N, this method contains N+1 sub-populations, of which N machines select the sub-problem population, and 1 process sorting sub-problem population size. Set the threshold maxGen of the number of algorithm loop iterations, and the population size P of the machine selection sub-problem 1 , the tournament selection factor k 1 , the crossover probability is P c1 , the mutation probability is Pm1 , the tournament selection factor k 2 , the population size of the process ordering subproblem is P 2 , crossover probability P c2 , the mutation probability P m2 .

[0036] Step 2, initialize the population:

[003...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a flexible job shop scheduling method based on multi-species coevolution, which belongs to the field of shop scheduling, and mainly overcomes the disadvantage that a flexible job shop scheduling method based on a genetic algorithm can not be exerted fully. The method comprises the main steps of: 1. setting parameters; 2. initializing species according to a set coding method; 3. calculating the fitness value of each chromosome in each species according to a set method, and recording the optimum fitness value and the constitute chromosomes thereof; 4. carrying out multi-species coevolution: carrying out evolution operations, i.e. chiasmata and variation, to chromosomes in each subspecies, and evaluating new chromosomes; and 5. judging whether a method termination criteria is achieved or not: if so, terminating the method and outputting the optimum fitness value and the constitute chromosomes thereof; and otherwise, jumping to the step 4. The invention can be used to obtain a high-quality scheduling scheme suitable for practical production of shops, can shorten production time, and can be used for scheduling management and optimization of the production process of shops.

Description

technical field [0001] The invention belongs to the field of workshop scheduling, and in particular relates to a flexible job workshop scheduling method, which is used for scheduling management and optimization of the workshop production process. Background technique [0002] Workshop production scheduling is the basis of manufacturing system, and the optimization of production scheduling is the core of advanced manufacturing technology and modern management technology. Relevant data show that 95% of the time in the manufacturing process is consumed in non-cutting processes. Therefore, scientifically formulating a production scheduling plan can shorten the product production cycle, control the work-in-progress inventory in the workshop, improve the rate of product delivery and improve enterprise productivity. It plays a vital role and has important theoretical value and practical significance for the modernization of advanced manufacturing enterprises. [0003] In the tradi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/00G06Q10/06
Inventor 李新宇高亮邵新宇张利平王晓娟
Owner HUAZHONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products