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

Method for optimizing spatial layout of land resources based on multi-target artificial immunization system

A technology of land resources and artificial immunization, which is applied in the fields of instruments, computing, and electrical digital data processing, etc., can solve the problems that the artificial immune system has not received enough attention, and the multi-objective processing method cannot meet the needs of multi-objective decision support for land use, etc. To achieve the effect of sustainable use

Active Publication Date: 2013-12-25
WUHAN UNIV
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] (2) The multi-objective processing method of the model cannot meet the needs of land use multi-objective decision support
However, the artificial immune system has not yet received enough attention in the field of optimal allocation of land resource spatial layout, and there have been no relevant reports at home and abroad

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
  • Method for optimizing spatial layout of land resources based on multi-target artificial immunization system
  • Method for optimizing spatial layout of land resources based on multi-target artificial immunization system
  • Method for optimizing spatial layout of land resources based on multi-target artificial immunization system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] The technical solutions of the present invention will be described below in conjunction with the accompanying drawings and embodiments.

[0071] For ease of understanding, the theoretical basis is first explained:

[0072] The spatial layout optimization problem of land resources is essentially a kind of multi-objective combinatorial optimization problem with constraints. As an excellent multi-objective optimization algorithm, multi-objective artificial immune system has been successfully applied in many fields. Existing studies have shown that in the field of multi-objective optimization, artificial immune systems are better than intelligent optimization algorithms such as genetic algorithms and ant colony optimization algorithms in terms of algorithm convergence speed and maintaining population diversity. In the multi-objective artificial immune system, the NICA algorithm has been proved to be one of the most outstanding multi-objective artificial immune optimization...

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 method for optimizing the spatial layout of land resources based on a multi-target artificial immunization system. The method comprises the following steps: storing the evaluation result of the land suitability of a planned region in a base year by a grid file; encoding namely mapping the spatial layout scheme of the land resources into the antibodies of the artificial immunization system through integer coding, and representing one actual plot of land by one grid unit, which corresponds to one gene bit in each artificial antibody, in the planned region; setting a target function, setting constraint conditions, initiating an antibody population, calculating the target value vector quantities of the antibodies, then iterating, carrying out cloning, mutation, calculation on the target value vector quantities of the antibodies, population updating and judgment on terminal conditions until iteration is over, and decoding to obtain a Pareto optimizing scheme.

Description

technical field [0001] The invention belongs to the technical field of land resource spatial layout optimization configuration, and in particular relates to a land resource spatial layout optimization method based on a multi-objective artificial immune system. Background technique [0002] The spatial layout optimization of land resources is an important part of land use planning. Its essence is that under the constraints of the quantity structure of land resources during the regional planning period, according to the natural (PH value, soil layer thickness, etc.) , location conditions), economic (price, economic benefits, etc.) attribute characteristics, determine the use of each piece of land, to improve the suitability of regional land use, and make the spatial layout of regional land resources more conducive to production, operation, management and ecological environment protection. Therefore, the spatial layout optimization problem of land resources is essentially a mul...

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): G06F19/00
Inventor 刘耀林赵翔刘艳芳刘殿锋何建华焦利民
Owner WUHAN 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