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

Index selection method based on grey wolf optimization algorithm

A technology for optimizing algorithms and indicators, applied in calculations, calculation models, instruments, etc., can solve the problems of overlapping indicators, reducing the weight of indicators, and distorting the structure of indicators, etc., to achieve the effect of simple system operation, simple and convenient operation, and high accuracy

Pending Publication Date: 2022-01-28
TIANJIN UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional establishment method of the index system is based on the past experience and judgment of experts, which will lead to the designer of the index often one-sidedly pursue the comprehensive performance of the index system, attempting to include all factors in the index system, resulting in too many indicators and mutual interaction among indicators. Overlapping, this behavior not only causes the illusion and confusion of expert judgment, but also leads to the reduction of index weight, distortion of index structure, and distorts the real information in terms of direction and quantity, making people raise questions about the objectivity and effectiveness of evaluation. question

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
  • Index selection method based on grey wolf optimization algorithm
  • Index selection method based on grey wolf optimization algorithm
  • Index selection method based on grey wolf optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] An index selection method based on the gray wolf optimization algorithm of the present invention will be described in detail below in conjunction with the embodiments.

[0014] A kind of index selection method based on gray wolf optimization algorithm of the present invention comprises the following steps:

[0015] 1) Determine that there are N indicators in the mine technology evaluation index set;

[0016] 2) Determine the form of the population vector according to N indicators: X i =(x 1 ,x 2 ,x 3 ,...,x N ), population vector X i Indicates a selection method of mine technology evaluation index, where x i It can only be 0 or 1, which means whether the i-th indicator in the mine technology evaluation index set is included in the index system, 0 means not included, and 1 means included;

[0017] 3) According to the improved gray wolf optimization algorithm, the optimal solution of the mine technology evaluation index is obtained, that is, the vector X with the s...

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 index selection method based on a grey wolf optimization algorithm. The method comprises the steps of determining that N indexes exist in a mine technology evaluation index set; determining the form of a population vector according to the N indexes, wherein the population vector represents a selection method of the mine technology evaluation indexes, xi can only be 0 or 1 and represents whether the ith index in the mine technology evaluation index set is put into an index system or not, 0 represents no putting, and 1 represents putting; and solving the optimal solution of the mine technology evaluation index according to an improved grey wolf optimization algorithm, namely, judging whether the value of each dimension in the vector with the minimum fitness value is 1 or not according to the vector with the minimum fitness value, if the value of each dimension is 1, selecting a corresponding index to be put into the index system, otherwise, not putting the index into the index system, so that the construction of the index system is completed. The method is easy and convenient to operate by a user, the speed is higher than that of a basic algorithm, the accuracy is higher, and the user can be smoothly helped to evaluate technical indexes.

Description

technical field [0001] The invention relates to an index selection method. In particular, it involves an index selection method based on the gray wolf optimization algorithm Background technique [0002] The technical evaluation of the mine is to obtain the technical parameters that can fully reflect the mine situation after analyzing the data obtained after various survey work in the mine, predict the economic value and social benefits of future mine development and utilization, and provide a basis for the development of mine projects. Investing provides a scientific basis. [0003] In mine technology evaluation, the establishment of index system is the premise and basis for technology evaluation. However, the traditional establishment method of the index system is based on the past experience and judgment of experts, which will lead to the designer of the index often one-sidedly pursue the comprehensive performance of the index system, attempting to include all factors i...

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): G06Q10/06G06N3/00G06Q50/02
CPCG06Q10/06393G06N3/006G06Q50/02
Inventor 许林英付文凯
Owner TIANJIN 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