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
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:
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
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/