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  • 标题:Optimization Algorithms for Generating Golomb Ruler Sequences – A Comparison
  • 本地全文:下载
  • 作者:Preet Kamal Singh ; Neena Gupta
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:2
  • 页码:1218
  • DOI:10.15680/IJIRSET.2016.0502008
  • 出版社:S&S Publications
  • 摘要:An undesirable nonlinear effect which degrades system performance significantly is acknowledged as Four Wave Mixing (FWM). In the optical communication systems, the FWM crosstalk is reduced by using unequally spaced channel allocation method. This channel allotment method is constructed on optimal Golomb ruler (OGR) which not only maintains the bandwidth efficien cy but also decreases the FWM effect. To generate and optimize Golomb ruler sequence, classic approaches as well as nature - inspired algorithms have been used by various researchers. In this paper, some of the algorithms are reviewed and compared.
  • 关键词:Channel allocation algorithm; Optimal Golomb ruler; Soft Computing; Firefly algorithm; Ant Colony ; Optimization; Cuckoo Search; Genetic algorithm
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