Abstract
As an important branch of evolvable hardware, evolutionary design of circuit (EDC) is a promising way to realize automated design of complex electronic circuits. To improve EDC in efficiency, scalability and capability of optimization, a novel technique was developed. It features an adaptive multi-objective genetic algorithm and interactions between EDC and data mining. It was validated by the experiments on arithmetic circuits, showing some exciting results. Some circuits evolved are the best ones ever reported in terms of gate count and operating speed. Moreover, some novel knowledge, e.g., efficient and scalable design formulae and generalized transform rules have been discovered by mining the data and results of EDC, which are easy to verify but difficult to dig out by human experts with existing knowledge.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
