A. E. A. Almaini scite author profile

The use of genetic algorithms for the generation of optimal state assignments for synchronous finite state machines (FSM) is proposed. Results are presented to show that, in all examples attempted, the resulting state assignments are better than or at least as good as those produced by SPECTRAL, NOVA and MUSTANG and also closed partition assignments. On average, the genetic algorithm produced assignments with 33% less logic than the best produced by other algorithms.

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Optimisation of Reed–Muller PLA implementations

Wang

Almaini

2002

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A. E. A. Almaini

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Optimisation of Reed–Muller PLA implementations

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