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This work presents an optimization method for the synthesis of finite statemachines. The focus is on the reduction in the on-chip area and the cost of thecircuit. A list of finite state machines from MCNC91 benchmark circuits havebeen evolved using Cartesian Genetic Programming. On the average, almost 30% ofreduction in the total number of gates has been achieved. The effects of someparameters on the evolutionary process have also been discussed in the paper.

Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm