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

Author

Hariri, A. ; Rastegar, R. ; Navi, K. ; Zamani, K.S. ; Meybodi, M.R.

Author_Institution

Shahid Beheshti Univ., Iran

fYear

2005

fDate

29 June-1 July 2005

Firstpage

294

Lastpage

297

Abstract

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.

Keywords

cellular automata; learning automata; parallel architectures; reconfigurable architectures; cellular learning automata; evolutionary algorithm; evolutionary computing; evolvable hardware; fitness evaluation; hardware design; intrinsic hardware evolution; parallel structure; Algorithm design and analysis; Concurrent computing; Energy consumption; Evolutionary computation; Genetic algorithms; Genetic programming; Hardware; Learning automata; Optimization methods; Particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolvable Hardware, 2005. Proceedings. 2005 NASA/DoD Conference on

ISSN

1550-6029

Print_ISBN

0-7695-2399-4

Type

conf

DOI

10.1109/EH.2005.12

Filename

1508513