Multi-objective land use optimization using genetic algorithm.

• Other Authors: Cao, Kai
• Format: Others
• Language: English; Chinese
• Published: 2010
• Subjects: Genetic algorithms; Land use > Planning
• Online Access: http://library.cuhk.edu.hk/record=b6074924; http://repository.lib.cuhk.edu.hk/en/item/cuhk-344557

Land use optimization is a multifaceted process that entails complex decision-making which involves the selection of activities, the percentages to allocate, and where to allocate. It will also add a whole extra class of variables to the problem when combined with the inevitable consideration of spatial optimization. The related applications by linear programming (LP), "Pareto Front Optimal" based methods, heuristics methods and integration of GIS etc. for spatial multi-objective land use optimization are reviewed and analyzed on their advantages and disadvantages in this thesis. Accordingly, due to the nonlinearity and the complexity caused by the multiple objectives and increasing variables during the optimization process, the efficiency and effect would be the issues to be considered. The need for effective and efficient models for land use optimization is evident from the above discussion as the core content. In order to comprehensively fulfill all the requirements, the understanding of the sustainability of land use is translated into eight objectives to form the Multi-objective Optimization of Land Use (MOLU) model. Furthermore, an efficient model named Boundary based Fast Genetic Algorithm (BFGA) using goal programming is employed in the multi-objective optimization in Tongzhou Newtown. This algorithm is especially efficient for land use optimization problems derived from its special boundary based operators. Furthermore, considering the characteristics of planning support process and these two models mentioned above, the interactive spatial land use optimization prototype with a friendly interface and a simplified 3D visualization module could be established, thus yielding good effects and potential to support the planning process in the study area. Finally, in light of the study results and limitations, some directions are also provided for future research. === Land use optimization, a kind of resource allocation, can be defined as the process of allocating different land use categories (e.g., residential, commercial, and industrial, etc.) to specific units of area within a region. As one of the most popular words nowadays, sustainable development can be viewed as a process of change in which the exploitation of resources, the direction of investment, the orientation of technological development and institutional change are all harmonized. Sustainability is, hence, an important and imminent societal goal for land use planning. Land use optimization involves the active planning of land for future use by people to provide for their needs. In this thesis, the central goal is to develop a sustainable land use optimization prototype to enrich the field of planning support with regard to sustainability. === Cao, Kai. === Source: Dissertation Abstracts International, Volume: 72-04, Section: A, page: . === Thesis (Ph.D.)--Chinese University of Hong Kong, 2010. === Includes bibliographical references (leaves 132-139). === Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. === Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. === Abstract also in Chinese.