Abstract

In this paper, we propose an adaptive genetic algorithm (GA) to solve the floorplanning problem in VLSI layout design, in which the sequence-pair representation is adopted as the coding scheme of each chromosome. New genetic operators for the problem are presented to explore the search space efficiently. The proposed GA has an adaptive strategy which dynamically selects an appropriate genetic operator during the GA execution depending on the stare of an individual. Experimental results show the effectiveness of our adaptive genetic algorithm compared to simulated annealing (SA).

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 call

Disclaimer: 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.