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Optimization method of spatial layout of land resources based on multi-objective artificial immune 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: 2016-09-14
WUHAN UNIV
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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

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  • Optimization method of spatial layout of land resources based on multi-objective artificial immune system
  • Optimization method of spatial layout of land resources based on multi-objective artificial immune system
  • Optimization method of spatial layout of land resources based on multi-objective artificial immune system

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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...

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Abstract

The invention provides a method for optimizing the spatial layout of land resources based on a multi-objective artificial immune system, including storing the land suitability evaluation result map of the planning area in the base year using a grid file; Integer encoding, mapped to the antibody of the artificial immune system, including using a grid cell in the planning area to represent an actual plot, corresponding to a gene bit in the artificial antibody; setting of objective function, setting of constraints, initialization of antibody population, antibody Target value vector calculation, and then iteratively perform cloning, mutation, antibody target value vector calculation, population update, termination condition judgment, until the iteration is terminated, and the Pareto optimization scheme is obtained by decoding.

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...

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Application Information

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Patent Type & Authority Patents(China)
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