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An Efficient Field Programmable Gate Arrays Placement by Particle Swarm Optimization

عنوان مقاله: An Efficient Field Programmable Gate Arrays Placement by Particle Swarm Optimization
شناسه ملی مقاله: ISCEE12_251
منتشر شده در دوازهمین کنفرانس دانشجویی مهندسی برق ایران در سال 1388
مشخصات نویسندگان مقاله:

Ali Naderi - Semnan university
Parviz Keshavarzi - Semnan university
Hassan R. Soleymanpour - Semnan university

خلاصه مقاله:
The Field Programmable Gate Arrays (FPGAs) are becoming increasingly important platforms for digital circuits. The optimum placement problem in FPGAs is crucial to achieve. This paper uses the particle swarm optimization (PSO) for solving the placement problem and adjusts its parameters for driving an optimal solution which is comparable with similar solutions. The proposed method results have been compared with Simulated annealing (SA) algorithm and previous PSO solution. The results of applying this algorithm on two digital circuits, a 4 bit ALU and a BCD counter, show the feasibility and efficiency of the proposed algorithm

کلمات کلیدی:
Particle Swarm Optimization, FPGA,Placement, Simulated Annealing.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/69361/