in recent years, due to absence of integrated watershed management in most regions, natural resources have witnessed numerous damages with severe floods as one of its consequences which further leads to economic, social and environmental damages. presently, there is no optimal utilization of land in most watersheds hence no optimal model matching with facilities and objectives is used in the wa...

In this paper, Landscape Allocation using Genetic Algorithm (LAGA), a spatial multi-objective land use optimization software is introduced. The software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. LAGA is a flexible and easy to use genetic algorithm-based software for optimizing the sp...

Generating prescribed patterns in spatial allocation is a difficult and complex optimization task. Many spatial allocation problems require the arrangement of resources in ways that their patterns promote some desirable landscape functions (e.g., Taylor et al.,2007; De Clercq et al., 2007; Milder et al., 2008). The complexity of the optimization task comes from the simultaneous effects of sitin...

In this study, a geospatial model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the infrastructural preference. The model was developed based on multi-agent genetic algorithm. The model was customized to accommodate the constraint set for the study area, namely the resource saving and environmental-friendly. The model...

Household space allocation by women who consume drugs in New York and North Florida is depicted to demonstrate the complex character of household space and social relations. Some parents attempt to hide their drug consumption through the allocation space in the household for drug use. Women allocation of space for drug use within their households and the impact of this on the household are rele...