• Jan 05, 2017 News![CFP] 2017 the annual meeting of IJFCC Editorial Board, ICCTD 2017, will be held in Paris, France during March 20-22, 2017.   [Click]
  • Mar 24, 2016 News! IJFCC Vol. 4, No. 4 has been indexed by EI (Inspec).   [Click]
  • Jun 28, 2017 News!Vol.6, No.3 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2012 Vol.1(2): 116-120 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2012.V1.30

NoC Multi-Objects Mapping Based On Enhanced Chaos Discrete Artificial Bee Colony Algorithm

Lili Pan, Zhe Li, and Xiang Ling

Abstract—Mapping is a key issue in NoC system-level design process. The power consumption and delay of a NoC system 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 mechanism in can effectively avoid the defection of premature convergence which are common in most of heuristics. By comparing with two prevalent mapping algorithms – Genetic Algorithm and Particle Swarm Optimazation algorithm, ECDABC algorithm has better performance on the optimized results in the same iterations times, and enhanced chaos mechanism has significant effect.

Index Terms—Networks-on-chip, mapping, multi-objective optimization, artificial bee colony algorithm.

The authors are with the National Key Laboratory of Science and Technology on Communication, UESTC Chengdu, China (Tel: +86- 02861830326, Fax: +86-02861830326, e-mail: xiangling@uestc.edu.cn, strawberrypll@yahoo.com, cnlizhe@uestc.edu, cnxiangling@uestc.edu.cn).


Cite: Lili Pan, Zhe Li, and Xiang Ling, "NoC Multi-Objects Mapping Based On Enhanced Chaos Discrete Artificial Bee Colony Algorithm," International Journal of Future Computer and Communication vol. 1, no. 2, pp. 116-120, 2012.

Copyright © 2008-2016. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net