APPLICATION OF CELLULAR LEARNING AUTOMATA WITH INPUT TO PLACEMENT OF INTEGRATED CIRCUITS
محل انتشار: فصلنامه مهندسی برق مدرس، دوره: 4، شماره: 1
سال انتشار: 1383
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 31
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شناسه ملی سند علمی:
JR_MJEEMO-4-1_006
تاریخ نمایه سازی: 21 اسفند 1403
چکیده مقاله:
In this paper an application of Cellular Learning Automata (CLA) to VLSI placement is presented. The CLA, which is introduced for the first time in this paper, is different from standard Cellular Learning Automata in two respects. It has input and the cell neighborhood varies during the operation of CLA. The proposed CLA based algorithm for VLSI placement is tested on number of placement problems and has been compared with several reported algorithms such as: simulated annealing, genetic algorithms, the algorithm proposed by Saheb Zamani and Hellestrand, and the algorithm based on Kohenen neural network. The results obtained show that the proposed algorithm produces results, which are comparable to the other algorithms reported in the literatures. The parallel nature of CLA makes it appropriate for hardware implementation.
کلیدواژه ها:
Learning Automata ، Cellular Learning Automata ، Placement ، Very Large-Scale Integrated circuits ، Gate Array ، اتوماتای یادگیر ، اتوماتای یادگیر سلولی ، جایابی ، مدارهای مجتمع با تراکم بسیار بالا ، آرایه گیت
نویسندگان
محمدرضا میبدی
Amirkabir university of technology
فرهاد مهدی پور
Amirkabir university of technology