Research on RLGA-based Hardware Evolution Optimization Technology

This paper discusses, comparing with the most commonly used genetic algorithms, how to obtain RLGA via researches on reinforcement learning and improves on genetic algorithms, so as to meet our requirements for hardware evolutionary operations, under the structure of the hard core microprocessor plus FPGA and the reconfigurable evolution circuit structure based on dynamic reconfiguration technology.