Floorplan area optimization using genetic algorithms

The paper deals with the problem of Floorplan Area Optimization; an approach based on Genetic Algorithms is proposed. The method produces optimal results with CPU time requirements comparable with the ones of other approaches but presents some advantages: it is simple to implement, it allows the user to easily trade off CPU time with result accuracy, it requires a limited amount of memory to store partial results, it is not sensible to special structures like nested wheels. Experimental results on the biggest problems proposed in the literature are reported