Study On Optimization Of Land Use Structure In Lanzhou City Based On Shuffled Frog Leaping Algorithm

To optimization land use structure is one of the basic ways to realize the rational and efficient use of land resources. In research field of the land use structure optimization, quantity structure optimization is easy to achieve, so there are a large number of studies having been reported,but the optimization of spatial structure is more difficult, so there is few literature discussing optimization of spatial structure. Therefore, in this paper, the optimization of land use structure in Lanzhou City were studied based on shuffled frog leaping algorithm models which combined ecosystem service value and land pattern compactness as fitness function. Our goal is to realize the intelligent optimization of the land quantity structure, farther more, to explore the method to implement the optimization of spatial structure. The research results showed that:(1) Ecosystem service functions of Lanzhou City mainly showed soil formation and protection, biodiversity maintaining and adjustment climate, functions of soil formation and protection, and hydrologic adjustment have been declined since 1997. But in recent years, due to the promotion of ecological construction, effectively controlling of the construction land area, the value of ecosystem services increased to 849.14?10 ? in 2014.It could generate 3 optimization schemes named as ecology scheme, development scheme and comprehensive scheme respectively, using optimization model which having been established based on improved shuffled leapfrogging algorithm. The ecosystem service value could mountain to 58.89×108? if the land of Lanzhou City could be used with the optimization scheme in the future. Land use structure optimization model and schemes proposed in this paper could meet the purpose of protecting the ecological environment and improving the value of ecosystem services.(3)It also could give out spatial optimization scheme of land use structure using optimization model which having been established combined improved shuffled leapfrogging algorithm and genetic algorithm taking ecosystem service and land pattern compactness as fitness function. Ecosystem service value of land use in Lanzhou could increase before 849.14?10 ? to858.02?10 ?, standard compactness of land pattern add up from 0.37 to 0.47 after optimization. Experimental result showed that the model can use the space distribution of frog's population to simulate land use space pattern and find optimal solution to problems under control of multiple targets, and realize effective unification of numeral structure optimization with spatial structure optimization of land use, with stronger capability of overall optimization and quicker convergence rate.(4)In order to improve searching speed of land use pattern optimization model, using shuffled frog leaping algorithm to establish parallel pattern optimization model. In this model, frogs in every sub-population independently conduct local optimization simultaneously. The global information exchange is carried out after the sub populations are mixed and the global optimization is carried out. Experimental result shows that compared with serial leapfrogging model and particle swarm model, parallel pattern optimization model has higher efficiency of optimization.(5)The optimization model of land use structure based on shuffled frog leaping algorithm oriented to improve the ecosystem service value is a workable way to intelligentize land use optimization, is a practicable method to implement spatial structure optimization of land use. The optimized scheme of land use obtained from this model can provide some theoretical guidance and technical reference for the city planning and land resources allocation in Lanzhou city.