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

Airport gate position dispatching method and system based on hyper-heuristic method

A dispatching method and a parking stand technology, applied in traffic control systems, genetic models, genetic rules, etc., can solve problems such as complex constraints, flight delays, large scale, etc., and achieve the goals of promoting economic benefits, optimizing scheduling problems, and saving time Effect

Pending Publication Date: 2018-02-09
YUNNAN UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The airport allocation problem is an NP problem with complex constraints and a large scale of problems, making it difficult to find an accurate optimal solution
If there is no effective and reasonable allocation plan for the parking lot, the aircraft will not be able to reach the allocated parking lot according to the predetermined plan until it is manually reassigned a parking lot
However, reallocation will not only reduce the operational efficiency of the airport, but also increase the operating costs of airlines and airports, resulting in a decline in passenger satisfaction, and may also cause new flight delays, resulting in adverse follow-up effects

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
  • Airport gate position dispatching method and system based on hyper-heuristic method
  • Airport gate position dispatching method and system based on hyper-heuristic method
  • Airport gate position dispatching method and system based on hyper-heuristic method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the objectives, technical solutions, and advantages of the present invention clearer and more comprehensible, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0034] The invention adopts two algorithms to deal with the scheduling problem of airport parking spaces, and proposes a discrete fuzzy particle swarm algorithm, establishes a genetic discrete fuzzy particle swarm algorithm model, and performs data simulation verification.

[0035] The application principle of the present invention will be described in detail below with reference to the accompanying drawings.

[0036] Such as figure 1 As shown, the airport parking stand scheduling method based on the hyper-heuristic method provided by the embodiment of the present invention adopts genetic algorithm a...

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 belongs to the field of airport gate position dispatching technology and discloses an airport gate position dispatching method and system based on a hyper-heuristic method. A genetic algorithm and a particle swarm optimization algorithm are adopted to solve airport gate position dispatching. The method comprises the specific steps that first, airport gate position dispatching is analyzed, and the analysis result is utilized to perform gene coding on individuals; second, the genetic algorithm is used to obtain a relatively optimal solution according to a coding mode; third, the discrete particle swarm optimization algorithm is utilized to perform directed optimization on airport gate position dispatching; and finally an optimal solution is obtained. Through the airport gate position dispatching method and system, airport gate position dispatching is optimized, airport resources are utilized more reasonably, and therefore economic benefit is increased; meanwhile, time can be saved, and it is convenient for passengers to get aboard; and testing of actual data indicates the feasibility of the algorithms, and meanwhile high efficiency is obtained.

Description

Technical field [0001] The invention belongs to the technical field of airport parking space scheduling, and in particular relates to an airport parking space scheduling method and system based on a super heuristic method. Background technique [0002] With the rapid development of the world's civil aviation industry, the global airport space resources are facing a very tight situation, and improving the utilization rate of airport space resources has become the most important issue for airports. The problem of the rationality of seat allocation is a problem that plagues China's civil aviation. Solving this problem can improve the normality of airport flights and provide passengers with better services. [0003] The airport allocation problem is an NP problem with complex constraints. The problem scale is relatively large, and it is difficult to find an accurate optimal solution. For this problem, current foreign research is mainly divided into three directions: mathematical plann...

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): G06Q10/04G06Q50/30G06N3/00G06N3/12G08G5/06
CPCG06N3/006G06N3/126G06Q10/04G08G5/065G06Q50/40
Inventor 康雁林英刘家辉李琛饶宇皓王蓉宇蒲斌卢晨阳杨成荣
Owner YUNNAN UNIV
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