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Optimal allocation method of irrigation water resources based on dual-objective immune particle swarm algorithm

A technology of immune particles and optimal configuration, which is applied in the field of agricultural irrigation, can solve the problem of unsatisfactory optimization results, and achieve the effect of increasing diversity and minimizing irrigation water

Active Publication Date: 2021-04-20
DONGHUA UNIV
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Problems solved by technology

[0007] The particle swarm optimization algorithm achieves the overall particle optimum by pursuing the individual extremum and the global extremum, and the convergence speed is fast. Unable to jump out, the optimization result is not very ideal. In this chapter, the concepts of crowding distance and immunity are added, and an improved particle swarm optimization algorithm is proposed to avoid excessive aggregation of particles, and the optimized non-inferior solution set is better

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  • Optimal allocation method of irrigation water resources based on dual-objective immune particle swarm algorithm
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  • Optimal allocation method of irrigation water resources based on dual-objective immune particle swarm algorithm

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[0050]The present invention is further illustrated in conjunction with the specific embodiments. It will be appreciated that these examples are intended to illustrate the invention and are not intended to limit the scope of the invention. It will be appreciated that after reading the contents of the present invention, those skilled in the art can make various modifications or modifications to the present invention, and these equivalents also fall in the scope of the claims appended claims.

[0051]Simulation of Irrigation Water Resources Optimization Configuration in Arid Areas is used as MATLAB, and the simulation section is attached.figure 2 ,Specific steps are as follows:

[0052](1) Analyze the growth cycle of crops, divide the entire growth process of crops into different birth phases. Choose a winter wheat to research objects, then study the winter wheat growth cycle is divided into sowing ~ winter, wintering ~ return to green, return to the blue, pull ~ heading, heading ~ grouting ...

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Abstract

The present invention proposes an irrigation water resource optimization configuration method based on a dual-objective immune particle swarm algorithm. In arid areas, due to insufficient irrigation water, crops cannot grow under sufficient irrigation. Resource allocation enables optimal crop yields even in drought conditions. The optimization method is an immune particle swarm algorithm based on the crowding distance, which simulates the antibody and mutation mechanism of the human immune system, improves the traditional particle swarm algorithm, and selects a part of the particle swarm generated in each generation according to the crowding distance as the antibody group, and then in the antibody An antibody is selected from the group to cross and mutate the particles. This method can allocate water reasonably during the growing period of crops, so that the yield of crops can be maximized while the amount of irrigation water can be minimized.

Description

Technical field[0001]The present invention relates to a dual target immunoparticle group algorithm, adding congestion distance and immunity to the particle group algorithm to improve the development of crop growth in the growth of crop growth, and belong to the field of agricultural irrigation.Background technique[0002]my country is a country with serious drought, due to the continuous growth of my country's population, the continuous expansion of industrialization, and the environmental pollution caused by human activities, water resources are more and more lacking. my country is an agricultural big country. The total amount of agricultural water in the water accounts for most, even in this way, there are many farmland without sufficient water to irrigate, water resources, so that the crops in some areas cannot be fully demanded. Irrigation, which affects the yield, so it is critical to the study of non-sufficient irrigation and the optimization of agricultural water resources is c...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/02G06Q50/06G06N3/00
Inventor 郝矿荣邹琳丁永生蔡欣
Owner DONGHUA UNIV
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