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
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