Title :
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
fDate :
29 June-1 July 2005
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;
Conference_Titel :
Evolvable Hardware, 2005. Proceedings. 2005 NASA/DoD Conference on
Print_ISBN :
0-7695-2399-4