Local neurocomputing method for resolving VLSI relocation problems

In this paper a fast migration method is proposed. Our method executes local relocation on a model placement where an additional module is added to it for modification with minimum number of engaging modules. This method is based on Mean Field Annealing (MFA) which produces a solution as liable as previously used method called simulated annealing (SA) in substantially less time and hardware. In addition, the runtime of solution is mostly independent of size and complexity of input model placement.