首页|Optimal strategy of searching FPD weights scanning matrix using GA-PSO
Optimal strategy of searching FPD weights scanning matrix using GA-PSO
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NETL
NSTL
万方数据
维普
This paper discusses a kind of optimal method used for searching flat panel display (FPD) scanning matrix.The method adopts bionic algorithm:genetic algorithm (GA) and particle swarm optimization (PSO) algorithm.The method using single GA is more time-consuming,and the search efficiency is low in later evolution; the PSO algorithm is easily falling into the local optimal solution and appears the premature convergent phenomenon.Hence,a hybrid approach of GAPSO is found to optimize the search for high grayscale weights scanning matrix.Finally in the acceptable time,it finds a weight scanning matrix (WSM) of 256 gray scales with Matlab,whose scanning efficiency reaches 94.73％ and the linearity is very good.
NETL
NSTL
万方数据
维普
