CN-122020218-A - Agricultural management measure space continuous optimization configuration method for combined explosion problem

CN122020218ACN 122020218 ACN122020218 ACN 122020218ACN-122020218-A

Abstract

The invention discloses a space continuous optimization configuration method of an agricultural management measure for a combined explosion problem, which relates to the technical field of agricultural resource management and comprises the steps of obtaining characteristic data of a plurality of space units to be configured in a target area, dividing the plurality of space units to be configured into a plurality of homogeneous clusters, defining a continuous proportional decision variable aiming at each homogeneous cluster, setting the value range of the continuous proportional decision variable to be [0,1], constructing an objective function model comprising at least two mutually conflicting optimization targets, carrying out optimization solution on the objective function model by adopting a multi-objective evolutionary algorithm to obtain a pareto optimal solution set, selecting an optimal solution from the pareto optimal solution set, and generating a space decision scheme based on the continuous proportional decision variable values of the homogeneous clusters in the optimal solution. The invention makes the large-scale space optimization problem become feasible in calculation, meets the requirements of different level decision makers, and enhances the practicability and operability of the results.

Inventors

XU QIANG
ZHANG HONGCHENG
FAN YAO
Ao Dicai
GAO HUI
HUANG LIFEN
HU KELIN
DOU ZHI
DAI QIGEN
HUO ZHONGYANG

Assignees

扬州大学

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (9)

1. A method for continuously optimizing and configuring the space of agricultural management measures for the combined explosion problem is characterized by comprising the following steps, S1, acquiring characteristic data of a plurality of space units to be configured in a target area, and dividing the plurality of space units to be configured into a plurality of homogeneous clusters by adopting a clustering algorithm; S2, defining a continuous proportional decision variable for each homogeneous cluster, wherein the value range of the continuous proportional decision variable is [0,1], and constructing an objective function model comprising at least two mutually conflicting optimization targets; S3, optimizing and solving the objective function model by adopting a multi-objective evolutionary algorithm to obtain a pareto optimal solution set; s4, selecting an optimal solution from the pareto optimal solution set, and generating a space decision scheme based on continuous proportional decision variable values of all homogeneous clusters in the optimal solution.
2. The method for spatially continuous optimal configuration of agricultural management measures for combined explosion problems according to claim 1, wherein the characteristic data comprises environmental factors, management measure factors and expected benefit potential factors.
3. The method for spatially continuous optimal configuration of agricultural management measures for combined explosion problems according to claim 1, wherein the number of optimization objectives is 3, including maximizing total agronomic benefit, maximizing total environmental benefit, and minimizing total implementation cost for implementing the agricultural management measures.
4. The method for spatially continuous optimal configuration of agricultural management measures for combined explosion problems according to claim 3, wherein the step of producing a spatial decision scheme is specifically, S401, giving optimal continuous proportion decision variable values of each homogeneous cluster to all space units in the cluster, and generating a first grid layer, wherein the value of each pixel in the layer represents the priority degree of the implementation of the agricultural management measure at the position of the pixel; S402, for each homogeneous cluster, determining the number of space units in the cluster, which need to implement the agricultural management measure, according to the optimal continuous proportion decision variable value, randomly extracting corresponding number of units in all space units in the cluster, marking the units as recommended conversion, and generating a second grid layer.
5. The method for spatially continuous optimal configuration of agricultural management measures for combined explosion problems according to claim 4, wherein step S2 is specifically, S201, defining a decision variable, wherein the decision variable is an n-dimensional vector X, and the decision variable is calculated as follows, ; Wherein x i E [0,1] represents the grid proportion recommended to be converted into water-saving irrigation in the ith cluster, i is more than or equal to 1 and less than or equal to n; s202, constructing an objective function for maximizing the national total yield gain, , Wherein Y i is the yield gain (t) of the representative grid of the ith cluster, and N i is the total number of grids contained in the ith cluster; Constructing an objective function for maximizing total GHG emission reduction in the whole country, , , Wherein G i is GHG emission reduction potential (tco 2 e）,ΔCH 4 is CH 4 emission reduction (tch 4 /km 2 ）,ΔN 2 O is N 2 O variable (t N 2 O/km 2 ), and a and b are global warming potentials of CH 4 and N 2 O, respectively; An objective function is constructed that minimizes the total cost of promotion nationwide, , Wherein, A=100 hectares/grid is the area of each grid, C=1000 yuan/hectare is the popularization cost of water-saving irrigation unit area; S203, setting constraint conditions, , Wherein, the Representing the rounding-down operator, c and d are the theoretical upper limits of the promotion rate and promotion rate, respectively, at the current baseline level.
6. The method for spatially continuous optimal configuration of agricultural management measures for combined explosion problems according to claim 5, wherein step S3 is specifically, S301, searching in an n-dimensional continuous hypercube [0,1] n space by adopting an NSGA-II algorithm; S302, setting algorithm parameters including population size m, evolution algebra n, crossover probability, mutation probability, crossover distribution index, mutation distribution index and penalty coefficient; S303, obtaining pareto frontier comprising m non-dominant solutions, and selecting one solution with highest comprehensive score from the pareto frontier as an optimal solution through a standardized scoring method 。
7. The method for spatially continuous optimal configuration of agricultural management measures for combined explosion problems according to claim 6, wherein the standardized scoring method is specifically, Firstly, performing extremely-poor standardization processing on three target values in the Pareto front, = , k = 1, 2; = ; Wherein, the And Respectively represents standardized yield gain and GHG emission reduction, Representing standardized cost benefits; The composite Score for each Pareto solution is then calculated, Score = ( + + ) ÷ 3; Selecting the solution with the highest comprehensive score as the final recommendation scheme, and marking the corresponding cluster conversion proportion vector as Each of which is Is the ith cluster conversion ratio under the optimal scheme.
8. The computer equipment comprises a memory and a processor, wherein the memory stores a computer program, and the computer equipment is characterized in that the processor realizes the steps of the combined explosion-oriented agricultural management measure space continuous optimization configuration method according to any one of claims 1-7 when executing the computer program.
9. A computer readable storage medium, on which a computer program is stored, is characterized in that the computer program, when being executed by a processor, implements the steps of the method for spatially continuous optimizing configuration of agricultural management measures for combined explosion problem according to any one of claims 1 to 7.

Description

Agricultural management measure space continuous optimization configuration method for combined explosion problem Technical Field The invention relates to the technical fields of agricultural resource management, space optimization and decision making, in particular to a space continuous optimization configuration method for agricultural management measures for a combined explosion problem. Background Under the double challenges of global grain safety and climate change, the popularization of agricultural management measures such as water-saving irrigation, optimized fertilization and the like is a key for realizing agricultural green transformation. However, determining "where to implement, how much to implement" is a complex space resource optimization configuration problem on a large scale across the country or region. The traditional decision method often adopts uniform popularization or simple partition based on expert experience, and is difficult to quantitatively balance multiple targets such as yield increase, emission reduction, cost saving and the like, so that systematic optimization of overall benefit cannot be realized. A more scientific method is to construct a spatial explicit optimization model. The prior art generally treats each individual spatial unit (e.g., grid, field) as a binary decision variable (implemented or not implemented), thereby creating a combinatorial optimization problem. When the number of spatial cells reaches tens or even hundreds of thousands (e.g., 1 km grid scale nationwide), the independent "yes/no" decision for each cell will lead to an exponential increase in the number of possible solution combinations (up to the order of 2 N), forming a "combinatorial explosion". For such very large scale combinatorial optimization problems, even with modern computers, finding the optimal solution by enumerating all possible solutions is completely infeasible within an acceptable time frame. In the prior art, a multi-objective evolutionary algorithm (such as NSGA-II) is adopted to solve the complex optimization problem, but the complex optimization method is still limited by the computational bottleneck caused by combined explosion when the complex optimization method is directly applied to the binary decision problem of a mass space unit. Disclosure of Invention The present invention has been made in view of the above-described problems occurring in the prior art. Therefore, the invention provides a space continuous optimization configuration method for agricultural management measures for combined explosion, which solves the problem that the prior method is limited by the computational bottleneck caused by combined explosion when the prior method is directly applied to binary decision problems of mass space units. In order to solve the technical problems, the invention provides the following technical scheme: In a first aspect, the present invention provides a method for spatially continuous optimizing configuration of agricultural management measures for combined explosion problem, comprising the steps of: s1, acquiring characteristic data of a plurality of space units to be configured in a target area, and dividing the plurality of space units to be configured into a plurality of homogeneous clusters by adopting a clustering algorithm; S2, defining a continuous proportional decision variable for each homogeneous cluster, wherein the value range of the continuous proportional decision variable is [0,1], and constructing an objective function model comprising at least two mutually conflicting optimization targets; S3, optimizing and solving the objective function model by adopting a multi-objective evolutionary algorithm to obtain a pareto optimal solution set; s4, selecting an optimal solution from the pareto optimal solution set, and generating a space decision scheme based on continuous proportional decision variable values of all homogeneous clusters in the optimal solution. As a preferable scheme of the agricultural management measure space continuous optimization configuration method facing the combined explosion problem, the characteristic data comprises environmental factors, management measure factors and expected benefit potential factors. As a preferable scheme of the space continuous optimization configuration method of the agricultural management measures facing the combined explosion problem, the optimization targets are 3, and the optimization method comprises the steps of maximizing the total agricultural benefit brought by implementing the agricultural management measures, maximizing the total environmental benefit and minimizing the total implementation cost. As an optimal scheme of the agricultural management measure space continuous optimization configuration method facing the combined explosion problem, the invention comprises the steps of producing a space decision scheme, S401, giving optimal continuous proportion decision variable values of each homogen