کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
497102 | 862876 | 2007 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A genetic algorithm high-level optimizer for complex datapath and data-flow digital systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
In this paper we present a methodology for optimizing complex datapath oriented digital circuits. An optimizer was developed based on the earlier development of an automatic circuit synthesizer that synthesizes hardware description language specifications based on available functional modules. A genetic algorithm is tailored to the problem of digital circuit optimization through the development of specific structures and procedures. In particular, a concise encoding of the circuit is developed that the genetic algorithm can manipulate. Specific crossover and mutation mechanisms are also developed to complement the functionality of the synthesizer. The searches are effected by altering module data type, hardware resource sharing, and module implementation version. A fitness function is derived that makes use of a number of optimization parameters to objectively evaluate each particular circuit. The features of each circuit are calculated and estimated during the analysis phase.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 7, Issue 3, June 2007, Pages 979-994
Journal: Applied Soft Computing - Volume 7, Issue 3, June 2007, Pages 979-994
نویسندگان
Zoran Salcic, George Coghill, Bruce Maunder,