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

A supply and demand scheduling method for ocean-going lng based on genetic algorithm

A scheduling method and genetic algorithm technology, applied in the field of efficient supply and demand scheduling of ocean-going LNG, can solve the problems of scheduling schedules and time-consuming business personnel, etc., to reduce the time for checking schedules, reduce the workload of scheduling negotiations, and improve timeliness Effect

Active Publication Date: 2020-10-16
CHINA PETROLEUM & CHEM CORP +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the large number of LNG trade batches per month, the supply volume and delivery period of each batch of LNG provided by Party A often do not match the receiving volume and reception period required by Party B, thus requiring business personnel to spend a lot of time scheduling Ship schedules to match supply and demand, and finally negotiate with Party A for changes to the schedules that do not meet the matching requirements

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
  • A supply and demand scheduling method for ocean-going lng based on genetic algorithm
  • A supply and demand scheduling method for ocean-going lng based on genetic algorithm
  • A supply and demand scheduling method for ocean-going lng based on genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0046] Such as figure 1 As shown, S1: determine the supply / demand chromosome coding scheme of ocean-going LNG, and set the chromosome gene information; S2: configure the chromosome evolution parameters; S3: generate the parent population according to the chromosome information; S4: interpret the chromosome gene information, and generate the corresponding Ocean LNG supply and demand scheduling plan, and calculate the fitness value of the plan; S5: Determine whether the termination condition is met, and if not, go to S6; S6: Perform genetic operations such as selection, crossover, and mutation on the parent population to generate offspring populations, and press S4 calculat...

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 discloses an ocean LNG (liquified natural gas) supply and demand scheduling method based on a genetic algorithm. The ocean LNG supply and demand scheduling method comprises steps that S1: an ocean LNG supply / demand chromosome coding scheme is determined, and chromosomal genetic information is set; S2: a chromosome evolution parameter is configured; S3: a parent population is generated according to the chromosomal genetic information; S4: the chromosomal genetic information is interpreted to generate a corresponding ocean LNG supply and demand scheduling scheme, and the adaptive value of the scheme is calculated; S5: whether a ceasing condition is satisfied is determined, when the ceasing condition is satisfied, a step 7 is carried out, and when the ceasing condition is not satisfied, a step 6 is carried out; S6: a progeny population is generated by the genetic manipulation of the parent population such as selection, crossover, and mutation, and the adaptive value of the progeny population is calculated according to the S4; according to the advantages and the disadvantages of the adaptive value, the parent real-coded chromosome and the progeny real-coded chromosome compete for survival, and the parent population is optimized; and then the S5 is continued; S7: the chromosomal genetic information is interpreted, and an optimal sailing data scheduling scheme is output. The optimizing efficiency of the algorithm is effectively improved.

Description

technical field [0001] The invention relates to an ocean-going LNG efficient supply and demand scheduling method based on a genetic algorithm, which belongs to the technical field of transportation optimization and intelligent computing research. Background technique [0002] Liquified Natural Gas (LNG for short) refers to the liquid obtained by compressing natural gas and cooling it to its boiling point (-161.5 degrees Celsius). It is recognized as the cleanest energy source on earth, colorless, odorless, non-toxic, and corrosive. In recent years, with the growth of world energy consumption and the continuous improvement of environmental protection requirements, the use of liquefied natural gas (LNG) has been increasing year by year. Due to low pollution, high economy, and convenient transportation, the LNG industry continues to expand, especially the LNG international trade and ocean transportation business have achieved considerable development. [0003] LNG is a liquef...

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 Patents(China)
IPC IPC(8): G06N3/12
Inventor 肖文涛王晓霖刘志伶王辉张环宇李雪
Owner CHINA PETROLEUM & CHEM CORP
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com