GENETIC ALGORITHMS FOR COMPLEX DYNAMIC STATISTICAL AND MATHEMATICAL MODELS
عنوان مقاله: GENETIC ALGORITHMS FOR COMPLEX DYNAMIC STATISTICAL AND MATHEMATICAL MODELS
شناسه ملی مقاله: ICIORS02_169
منتشر شده در دومین کنفرانس بین المللی تحقیق در عملیات ایران در سال 1388
شناسه ملی مقاله: ICIORS02_169
منتشر شده در دومین کنفرانس بین المللی تحقیق در عملیات ایران در سال 1388
مشخصات نویسندگان مقاله:
Ahmad Pourdarish - Department of Statistics, Mazandaran University, Babolsar, Iran
Mehrzad Alijani - Department of Statistics, Razi University,Kermanshah, Iran
خلاصه مقاله:
Ahmad Pourdarish - Department of Statistics, Mazandaran University, Babolsar, Iran
Mehrzad Alijani - Department of Statistics, Razi University,Kermanshah, Iran
In this paper, we introduce a number of genetic algorithms and their applications in optimization problems. Customized genetic algorithms have been demonstrated to be particularly effective to determine excellent solutions to these problems. We show that these methods are applicable and quite efficient in tackling with complicated dynamic models using MATLAB toolbox.
کلمات کلیدی: genetic algorithms; dynamic models; simulation; MATLAB
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/67930/