Finite State Machine Synthesis for Evolutionary Hardware
This work addresses the need for efficient hardware synthesis in autonomous systems on reconfigurable platforms, but appears incremental as it builds on existing genetic algorithm methods.
The authors tackled the problem of finite state machine synthesis by applying genetic algorithms, resulting in machines with fewer states and faster synthesis times.
This article considers application of genetic algorithms for finite machine synthesis. The resulting genetic finite state machines synthesis algorithm allows for creation of machines with less number of states and within shorter time. This makes it possible to use hardware-oriented genetic finite machines synthesis algorithm in autonomous systems on reconfigurable platforms.