Cellular learning automata based evolutionary computing (CLA-EC) for intrinsic hardware evolution

被引：5
|
作者：
Hariri, A [1 ]
Rastegar, R [1 ]
Navi, K [1 ]
Zamani, MS [1 ]
Meybodi, MR [1 ]
机构：
[1] Shahid Beheshti Univ Med Sci, Tehran, Iran
来源：
2005 Nasa/DoD Conference on Evolvable Hardware (EH-2005), Proceedings | 2005年
关键词：
D O I：
10.1109/EH.2005.12
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Evolvable Hardware (EHW) deals with the application of evolutionary algorithms in hardware design. In intrinsic EHW, the evolutionary algorithm or the fitness evaluation is implemented in hardware. In this case, there is a need for hardware-friendly algorithms. In this work, we introduce Cellular Learning Automata based Evolutionary Computing (CLA-EC) as a new algorithm for intrinsic hardware evolution. The parallel structure of CLA-EC makes it suitable for EHW. Therefore, in this work we consider the application of this algorithm to EHW.
引用
收藏
页码：294 / 297
页数：4
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