The optimized allocation for land use spatial structure is not only an important method to promote an effective and intensive use for land resources. In view of the existing model methods, most them lacking researches in the optimization allocation for spatial pattern of land use. In this paper there has been proposed a multi-objectives optimization method based on improved GA, in term of the c...

Space allocation of urban facilities is a critical field of decision making in urban planning. Supposing that Geographic Information (GI) provide us with more objective parameters for space allocation, Geographic Information Systems (GIS) is used by urban planners. But usage of GIS in urban planning is limited to simple analyses believing that complex spatial analyzes complicate the currently e...

Under the notion of sustainable development, a heuristic method named as the Boundary-based Fast Genetic Algorithm (BFGA) is developed to search for optimal solutions to a land use allocation problem with multiple objectives and constraints. Plans are obtained based on the trade-off among economic benefit, environmental and ecological benefit, social equity including Gross Domestic Product (GDP...

Sustainable urban form has been recognized as one of the major concerns of the planning practice. Current land use pattern trends with low-density, single-use, and leapfroging urban growth on city outskirts call for more efficient land use development strategies balancing economy, environmental protection, and social equity. In this paper, we present a new multiobjective spatial optimization mo...