دانلود مقاله ISI انگلیسی شماره 52136
عنوان فارسی مقاله

هوش محاسباتی در تکنولوژی فوتونیک و شبکه های نوری: بررسی و دیدگاه های آینده

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
52136 2007 24 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Computational intelligence in photonics technology and optical networks: A survey and future perspectives
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Information Sciences, Volume 177, Issue 23, 1 December 2007, Pages 5292–5315

کلمات کلیدی
هوش محاسباتی؛ استراتژی تکامل؛ الگوریتم های ژنتیکی؛ شبکه های عصبی؛ سیستم های فازی؛ بهينه سازي؛ شبکه های نوری؛ قطعات فوتونی
پیش نمایش مقاله
پیش نمایش مقاله هوش محاسباتی در تکنولوژی فوتونیک و شبکه های نوری: بررسی و دیدگاه های آینده

چکیده انگلیسی

The continuous growth of broadband communications, multimedia services and Internet is absolutely related to the deployment and operation of optical networks. Despite optical fibers’ enormous physical bandwidth the development of optical networks for today’s advanced, reliable and guaranteed-type services, require an efficient management of the bandwidth together with an orthological and careful use of optical components given their high manufacturing cost. These requirements have lead to the need for sophisticated photonic devices and to optical networks’ implementations of increased functionality and associated thus complexity. For the efficient consideration of those problems different design and optimization techniques have been applied to date. However, as the complexity increases, the use of computational intelligence (CI) in those problems is becoming a unique tool of imperative value. In this paper we review in a unified approach the applications of CI starting from the physical layer and ending to services layer, given that here there is a strong relation and unique interplay between components’ technology and network issues, being sharing the common target of physical bandwidth’s efficient utilization. The applicability of different CI classes (genetic algorithms and evolution strategies, fuzzy systems, and artificial neural networks) in optical wavelength division multiplexing (WDM) networks is identified and evaluated. Furthermore specific optical networks’ optimization problems are categorized. Being a rapidly growing area, new trends, such as evolutionary game theory, in understanding and design of large scale Optical Network are also identified and discussed. The paper seeks to review the aforementioned areas, identify new problems and trends, triggering this way new research efforts for interdisciplinary cooperation between researchers.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.