DocumentCode :
2467506
Title :
Non-Uniform search domain based Genetic algorithm for the optimization of real time FFT Processor architectures
Author :
Sulaiman, Nasri ; Arslan, Tughrul
Author_Institution :
Edinburgh Univ., Edinburgh
fYear :
0
fDate :
0-0 0
Firstpage :
3161
Lastpage :
3165
Abstract :
This paper presents a GA for optimization of word length coefficients in a pipelined FFT processor. The algorithm optimizes memory and buses both at the I/O interfaces within the processor datapath. This provides a complex search space in which the algorithm needs balance optimization parameters against error. A special feature of the GA is the use of nonuniform operators which allow tuning the search to provide an optimal optimization with minimum number of generations. The paper describes the algorithm, the concept of non uniform operators through the mutation operation. The results show the effect of both uniform and non uniform sampling on the quality of the optimization, turbulence towards convergence, and the speed of convergence.
Keywords :
code division multiple access; convergence; fast Fourier transforms; genetic algorithms; mathematical operators; microprocessor chips; radio receivers; search problems; I/O interfaces; MC-CDMA receiver; buses optimization; convergence speed; genetic algorithm; memory optimization; microprocessor; mutation operation; nonuniform operators; pipelined fast Fourier transform processor; processor datapath; search domain; word length coefficients optimization; Convergence; Energy consumption; Evolutionary computation; Genetic algorithms; Genetic engineering; Genetic mutations; Multicarrier code division multiple access; OFDM; Sampling methods; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
Type :
conf
DOI :
10.1109/CEC.2006.1688709
Filename :
1688709
Link To Document :
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