土地利用空间配置的空间化遗传优化模型与算法研究

土地利用规划是优化国土空间开发格局与促进土地资源合理高效利用的主要技术手段。如何实现区域土地开发、利用、治理、保护在时空上的合理配置,以解决区域在规划期内土地利用结构与空间布局优化是土地利用规划的核心,也是当前土地科学研究的热点和难点问题。针对现有智能优化模型在解决土地利用空间优化配置领域问题时存在的数值化、随机性和效率低的不足，以遗传优化算法为例，开展智能空间优化模型与算法的改进研究。研究遗传优化模型的空间化表征、遗传操作的领域知识化、算法的并行化，建立基于领域知识指导、空间化遗传算法的土地利用空间优化配置模型，并以武汉市为实验区,开展实验验证研究,以期建立一种与土地利用领域问题耦合的遗传优化理论和技术方法,为实现区域土地利用结构和空间布局智能化优化奠定理论和技术基础。

Land use planning is the main means to optimize the development pattern of land and to promote rational and effective utilization of land resources. How to complete the rational allocation of regional land resources in temporal and spatial dimension and then to accomplish the optimization of land use quantitative structure and its spatial layout is the core of land use planning, which is currentlt the difficulty and the research hotspot of land science. Aimming at shortcomings in quantization, ramdomization and efficiency which are reflected when intelligent algorithms are utilized to solve problems from the field of optimization of land resources allocation, the study on the improvement of intelligent models and algorithms for spatial optimization is carried out and genetic algorithm is selected as an instance. Through studying the spatial representation of the optimization model based on GA, genetic operations combined domain knowledge and algorithm parallelization, the spatial optimization model of land resources, based on the direction of domain knowledge and spatial GA, is constucted. Wuhan is selected as the study area for model validation. To lay a theoretical and technical foundation for the intelligent optimization of regional land use structure and its spatial layout, theories and technical methods on genetic optimization, which are coupled with land use issues, are expected to be established.