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

Test-launch project double-layer scheduling method based on a heuristic rule genetic algorithm

A genetic algorithm and heuristic technology, applied in the field of double-layer scheduling of testing and development projects, can solve problems such as less research, and achieve the effect of filling research gaps, reducing the space for solutions, and shortening the construction period.

Active Publication Date: 2021-11-30
NANJING UNIV OF SCI & TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve various RCPSPs, existing studies have solved problem subsets such as multi-skilled employees and dynamic project requirements, but mainly focused on projects with a determined logical sequence between activities, and for projects that have the distinction between main lines and sub-lines represented by testing and dispatching. , activities can be split and other characteristics of the project is currently less research

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
  • Test-launch project double-layer scheduling method based on a heuristic rule genetic algorithm
  • Test-launch project double-layer scheduling method based on a heuristic rule genetic algorithm
  • Test-launch project double-layer scheduling method based on a heuristic rule genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0042] Such as figure 2 As shown, START is a virtual initial activity, END is a virtual end activity, the previous activity is a series of activities before the current activity, the subsequent activity is a series of activities after the current activity, and the previous activity is the activity before the current activity. The first activity in sequence, the successor activity is the first activity in sequence after the current activity, the import activity is the su...

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 relates to a test-launch project double-layer scheduling method based on a heuristic rule genetic algorithm, and belongs to the technical field of project management, and the method comprises the steps: generating an initial main line scheduling plan according to a heuristic rule; moving the mainline activity to the right to obtain a final mainline scheduling plan; determining the priority of a subline according to a reverse order rule, and sequentially moving leftwards to determine an advanced approach activity to obtain an upper scheduling plan; generating an initial population according to the upper scheduling plan; and performing iterative selection, crossover and mutation operation to obtain a population, calculating a construction period, and retaining an optimal solution. According to the method, the crossing and variation range is limited, the solution space is reduced, and the optimal solution is accurately positioned; and the characteristic that the subline activities allow to work in advance is considered, and the subline activities needing to enter a site in advance are reasonably arranged, so that the total project construction period is shortened, and the research vacancy of the project scheduling problem of process logic uncertainty represented by test-launch is made up.

Description

technical field [0001] The invention relates to a two-layer scheduling method for testing and launching projects based on a heuristic rule genetic algorithm, and belongs to the technical field of project management. Background technique [0002] The testing and launching project scheduling problem is a subset of the basic resource-constrained project scheduling problem (Resource-ConstrainedProject Scheduling Problem, RCPSP); but different from the classic RCPSP, in the testing and launching process, different activities have different levels of priority, and Activities related to product testing and launch are called main line activities with higher priority, and other activities are called sub-line activities with lower priority. [0003] During the entire project implementation process, managers focus on ensuring that the main line activities are completed on schedule. Therefore, in order to meet this requirement, the auxiliary line activities need to be carried out in adv...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10G06N3/12G06N3/00
CPCG06Q10/103G06N3/006G06N3/126G06Q10/109
Inventor 柳林燕郑思媛汪惠芬
Owner NANJING 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