GAFPGA: Genetic algorithm for FPGA technology mapping

Abstract

A method for solving the technology mapping problem for field-programmable gate arrays that is based on the genetic algorithm is presented. The genetic algorithm simultaneously optimizes a set of solutions, which makes it a very powerful optimization technique. However, due to the highly constrained search spaces for design automation problems, the application of the genetic algorithm is not straightforward. It is shown that this limitation can be overcome by enhancing the genetic search appropriately. The performance of the enhanced genetic search is demonstrated through experimental results for the technology mapping problem.<>