Land use zoning method based on clonal selection optimization

Abstract

A land use zoning method based on clonal selection optimization includes the steps of constructing a land use zoning foundation database through integrating land use data and relative thematic data, taking data in the database as input data, taking land use pattern spots as data processing units, establishing mapping for questions to be solved to a clonal selection algorithm, constructing a land use zoning protomodel based on clonal selection to solve a land use optimization layout result, and finally combining the pattern spots adjacent to a same land type though a method of a geographical information system to pick up boundary lines of the combined pattern spots to obtain a land use zoning boundary line so as to generate a land use zoning map. Through the adoption of technologies and research results related to artificial intelligence, intelligent behaviors of humans are simulated to construct the intelligent and automated land use zoning method based on the clonal selection optimization. Accordingly, the scientificity, the rationality and the operability of land use zoning are improved, and technical support for land use planning and land use control and management is provided.

Description

technical field [0001] The invention belongs to the field of land use planning, in particular to a method for zoning land use based on clone selection optimization. Background technique [0002] Land use zoning is the core issue of land use planning, and it is also the premise and key content of the optimal allocation of land use space. In practical application, land use zoning provides a basis for the regulation and management of land use. International research on land use zoning originated in Germany at the end of the 19th century, adopted by the United States in the 20th century, and later adopted in Australia and other countries. Since the 1950s, the content of land use control and zoning methods have been changed, with the purpose of controlling the location, speed of land development and service level of public facilities. The land use zoning and control system has played an important role in optimizing the allocation of land resources, improving land utilization, e...

AI Technical Summary

Problems solved by technology

[0004] However, due to the complexity of land use, the land use system is a complex system of land ecology and economy involving nature, society, and economy. Simple econometric geography methods and geographic computing systems can effectively analyze and simulate the natural attributes of land use systems. It is difficult to get a good analysis of the impact of land use on land use, such as social economy and human subjective will. The development of artificial intelligence provides important theoretical and technical conditions for solving this problem.

However, there is no corresponding technical solution yet

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