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Application of Genetics Algorithm in linear array synthesis to reduce levels of side lobe pattern

عنوان مقاله: Application of Genetics Algorithm in linear array synthesis to reduce levels of side lobe pattern
شناسه ملی مقاله: ICESCON01_0399
منتشر شده در کنفرانس بین المللی علوم و مهندسی در سال 1394
مشخصات نویسندگان مقاله:

Nooshin rabiee - Department of Electrical Engineering, shirazBranch, Islamic Azad University, shiraz, Iran
Naser Parhizgar - Department of Electrical Engineering,Shiraz Branch, Islamic Azad University,Shiraz,Iran
Mohsen Kamyar - Department of Electrical Engineering,Bushehr Branch,Technical and vocational University,Bushehr,Iran
Maryam Rahimi Kazerooni - Department of Electrical Engineering,Kazeroon Branch, Elmi karbordi University,kazeroon ,Iran

خلاصه مقاله:
There are numerous problems in electrical engineering for which there are no analytical solutions. In fact, electromagnetics’ problems are often nonlinear and non-differentiable in practice. One of the most effective methods to solve these types of problems is genetics algorithm method. Using generation survival rules, genetics algorithm randomly directs a population towards a solution. Compared to the traditional methods, this algorithm allows a faster overall optimum, which is the main goal of every optimization method.

کلمات کلیدی:
Genetics algorithm, Side lobe, linear arrays synthesis

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/424535/