Date Added: May 2012
A fast changing in dynamic heterogeneous environment makes the data to be maintained up-to-date. Due to enormous amount and composite formation of spatial data, the optimization of spatial query is a complex process and significant from research viewpoints. Numerous programming techniques and methods are being presented to optimize the solutions formed by spatial analysis tools. The previous work used the GA technique for multi-join operation in active data warehouse. Genetic Algorithm (GA) is one of the normal optimization schemes, which creates many possible optimal solutions than the extra linear programming tools. But the downside of the previous work is that it does not discuss about the spatial data transformation and execution.