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

Crop plantation space layout optimization method based on improved Cuckoo algorithm

A layout optimization and cuckoo technology, which is applied in the field of crop planting space layout optimization based on the improved cuckoo algorithm, can solve the problems of a large number of solutions to be optimized, high time and space complexity, and no precedent, etc., to improve the global search. The effect of optimal ability and convergence efficiency

Inactive Publication Date: 2018-11-13
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this type of problem exists widely in production and life, it is difficult to solve it. The main reason is that the spatial layout optimization problem is a combinatorial optimization problem that involves spatial information. There are a large number of solutions to the problem to be optimized and a huge solution space. , which is the so-called "combinatorial explosion", and the traditional solution method has high time and space complexity, and it is difficult to solve the above problems
[0012] At present, there is no precedent for the attempt to combine the cuckoo algorithm with the spatial layout optimization problem

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
  • Crop plantation space layout optimization method based on improved Cuckoo algorithm
  • Crop plantation space layout optimization method based on improved Cuckoo algorithm
  • Crop plantation space layout optimization method based on improved Cuckoo algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0101] In order to make the technical solutions, content and advantages of the present invention clearer, the following will clearly and completely describe the implementation examples in conjunction with the accompanying drawings in the implementation examples of the present invention. Obviously, the described implementation examples are part of the applicable examples of the present invention. Not all applicable instances. Based on the implementation examples in the present invention, all other implementation examples obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. It should be noted that, in the case of no conflict, the features in the implementation examples of the application of the present invention can be combined arbitrarily with each other.

[0102] A method for optimizing the crop planting space layout based on the improved cuckoo algorithm, characterized in that it comprises st...

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 crop plantation space layout optimization method based on an intelligent optimization algorithm, in particular to a crop plantation space layout optimization method based onan improved Cuckoo algorithm, and belongs to the field of geographic space layout planning. The method aims at a crop plantation layout optimization problem to redefine an individual coding way, an initial layout scheme generation method and a multi-objective function and constraint condition processing method in the Cuckoo algorithm on the basis of a Cuckoo algorithm framework, a one-to-one mapping relationship of the problem and the Cuckoo algorithm is established, and a cross replacement strategy and a local update strategy, which aim at the space layout, are put forward so as to establishthe information exchange and update mechanism of a Cuckoo individual again to meet crop space layout optimization requirements. Meanwhile, the method is combined with a Pareto multi-objective processing technology, and various candidate schemes can be generated to provide decision support for decision makers. By use of the cross replacement and local update strategy put forward by the invention,the convergence efficiency and the solving accuracy of the algorithm are improved.

Description

technical field [0001] The invention relates to a method for optimizing the spatial layout based on an intelligent algorithm, in particular to a method for optimizing the spatial layout of crop planting based on the improved cuckoo algorithm. Background technique [0002] Spatial layout optimization problem is a kind of complex spatial problem that widely exists in the field of geography research. Its basic purpose is to use a certain space search method to obtain specific goals (economic goals, social goals, ecological goals, etc.) and under certain constraints. The optimal spatial entity distribution state of . Many complex spatial problems can ultimately be attributed to the optimization of spatial layout, such as the optimal allocation of land resources, the location of parks or supermarkets, etc., are considered to be classic spatial layout optimization problems. Although this type of problem exists widely in production and life, it is difficult to solve it. The main r...

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): G06Q10/04G06Q50/02G06N3/00
CPCG06N3/006G06Q10/04G06Q50/02
Inventor 赵辉辉蒋样明张阳郭兵王拓
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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