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Extensible Multi-objective Optimizing Land Use Allocation Based-on Ant Colony Algorithm

Posted on:2018-04-17Degree:MasterType:Thesis
Country:ChinaCandidate:Z L MoFull Text:PDF
GTID:2359330512485496Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Land resources are the most basic resources for human activities.In the process of urbanization,population growth,irrational land use result in land resources constraints.In the circumstances of limited land resources,only analyzing current distribution of land resources scientifically,allocating land resources reasonably,can people achieve the goal of using the land resources economically and intensively,and of sustainable urban development.It is a complex multi-objective optimization problem of allocation of land use.Most of the existing optimization models focus on land use quantity structure optimization,and only a little of them are exploring methods of spatial layout optimization.Based on the theory of optimal allocation of land use at home and abroad,this paper establishes a land use spatial layout optimization model based on extensible multi-objective ant colony algorithm,chooses Xiaoshan District of Hangzhou as the study area,obtains the land use optimal allocation schemes,compares and analyzes the difference of the schemes under different multi-objective systems.The main results are as follows:(1)Construct a extensible multi-objective system.First,introduce function models of land suitability evaluation,spatial agglomeration and minimun switching costs,and build a basic multi-objective system;then abstract and model the common targets,and define extensible target functions of different types;at last,establish a extensible multi-objective system.(2)Use ant colony algorithm to solve the multi-objective problem of land use optimizing allocation.Analyze ant colony algorithm and use it to solve land use optimizing allocation problem.Analyze important parameters in ant colony algorithm,including number of ants,pheromone evaporation factor,information inspiration factor,expect inspiration factor and so on,alter the core functions of ant colony algorithm based on multi-objective optimal requirements,and convert the multi-objective to a single-target problem.At last,establish a extensible multi-objective ant colony algorithm land use optimizing allocation model.(3)Choose Xiaoshan District as the study area,and verify the validity of the model.Based on the analysis of land use status of Xiaoshan District,choose 2015 as the base year,optimizing the land use allocation under different multi-objective systems,obtaining the optimal land use schemes of Xiaoshan District in 2020,comparing and analyzing them,verifying the effectiveness and flexibility of the model.
Keywords/Search Tags:Land Resources, Optimization allocation of land use, Extensible multi-objective System, Ant colony optimization
PDF Full Text Request
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