کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410809 | 679166 | 2007 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An efficient problem-independent hardware implementation of genetic algorithms
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: An efficient problem-independent hardware implementation of genetic algorithms An efficient problem-independent hardware implementation of genetic algorithms](/preview/png/410809.png)
چکیده انگلیسی
In this paper, we propose a massively parallel architecture for hardware implementation of genetic algorithms. This design is quite innovative as it provides a viable solution to the fitness computation problem, which depends heavily on the problem-specific knowledge. The proposed architecture is completely independent of such specifics. It implements the fitness computation using a neural network. The hardware implementation of the used neural network is stochastic and thus minimise the required hardware area without much increase in response time. Last but not least, we demonstrate the characteristics of the proposed hardware and compare it to existing ones.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 71, Issues 1–3, December 2007, Pages 88–94
Journal: Neurocomputing - Volume 71, Issues 1–3, December 2007, Pages 88–94
نویسندگان
Nadia Nedjah, Luiza de Macedo Mourelle,