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   an efficient hybrid algorithm based on genetic algorithm (ga) and nelder–mead (nm) for solving nonlinear inverse parabolic problems  
   
نویسنده dana mazraeh h. ,pourgholi r.
منبع iranian journal of numerical analysis and optimization - 2018 - دوره : 8 - شماره : 2 - صفحه:119 -140
چکیده    In this paper a hybrid algorithm based on genetic algorithm (ga) and nelder–mead (nm) simplex search method is combined with least squares method for the determination of temperature in some nonlinear inverse parabolic problems (nipp). the performance of hybrid algorithm is established with some examples of nipp. results show that hybrid algorithm is better than ga and nm separately. numerical results are obtained by implementation expressed algorithms on 2.20ghz clock speed cpu.
کلیدواژه hybrid ,nipp ,nonlinear inverse parabolic problem ,genetic algorithm ,nelder–mead ,the least squares method.
آدرس damghan university, school of mathematics and computer science, ایران, damghan university, school of mathematics and computer science, ایران
پست الکترونیکی pourgholi@du.ac.ir
 
   یک الگوریتم ترکیبی کارا بر اساس الگوریتم ژنتیک و روش جستجوی نلدر مید برای حل مسائل معکوس سهموی غیرخطی  
   
Authors دانا مزرعه حسین ,پورقلی رضا
  
 
 

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