مشخصات پژوهش

عنوان	CUDA Parallelization of Teacher-Learner Optimization Algorithm
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	Evolutionary algorithm, Teaching and learning-based algorithm, CUDA parallelization technology, GPU
چکیده	Evolutionary algorithms are effective methods for solving optimization problems that do not require any special assumptions to find optimal solutions. Optimization based on teaching and learning has been parallelized using CUDA parallelization technology. The results show that the proposed parallel version of the algorithm is fast and efficient in teaching and learning phases
پژوهشگران	مهدی عباسی (نفر اول)، محمد الغنیم (نفر دوم)، محمد صبری (نفر سوم)، محمدرضا خسروی (نفر چهارم)