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The Ethereal
Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm
January 02, 2024 ยท Declared Dead ยท + Add venue
"No code URL or promise found in abstract"
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Authors
Noor Ullah, Khawaja M. Yahya, Irfan Ahmed
arXiv ID
2401.01265
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI
Citations
0
Last Checked
4 months ago
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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