Abstract
Mapping is a key issue in NoC system-level design process. The power consumption and delay of a NoCsystem are primary determined by the mapping result. Since NoC mapping is a NP-Complete problem, which means it beyond the computation ability to obtain the global optimal solution if the size of problem is too large.Approaches in this area focuses on heuristic algorithms. In this paper, a new swarm-intelligence algorithm - Enhanced Chaos Discrete Artificial Bee Colony (ECDABC) algorithm is introduced to solve this problem,which carries out two-step optimization processes. Moreover, the enhanced chaos mechanismin can effectively avoidthe defection of premature convergence which are common in most of heuristics. By comparing with two prevalent mapping algorithms - Genetic Algorithm andParticle Swarm Optimazation algorithm,ECDABC algorithm has better performance on the optimized results in the same iterations times, and enhanced chaos mechanism has significant effect.
Sign-in/Register to access full text options 
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 callMore From: International Journal of Future Computer and Communication
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.
