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arXiv · 2401.01265

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

Noor Ullah·Khawaja M. Yahya·Irfan Ahmed
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Abstract

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

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Noor Ullah, Khawaja M. Yahya, Irfan Ahmed. 2024-01-02. Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm. https://arxiv.org/abs/2401.01265

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