On Reconstruction of Cardiac Current Model Based on Particle Swarm Optimization of Asynchronous Varied Constrict CoefficientsChinese Full Text
LIU Xiao-le;Department of Computer,Henan Institute of Engineering;
Abstract: Constrict Factor Particle Swarm Optimization（CFPSO）is low in accuracy,and a new Particle Swarm Optimization based on asynchronous varied coefficients has been proposed in this paper.The algorithm based on CFPSO,with asynchronous changing accelerating coefficients to produce the constrict factor,improve the sociality and self-studying of particles in evolutionary process,and includes the operation known as"Diffusion"and"Attraction"in order to ameliorate the accurate level and convergence velocity.In this algorithm,first of all,produces random particles have been given with certain ranges.Then,the asynchronous constrict factor is used during the evolutionary procedure.Based on the discrimination function,the operation"Diffusion"or"Attraction"has been used,which can evaluate the distance between the particles and global optima,so the particles are moving toward to the global optima very rapidly.The new algorithm and CFPSO are both tested on novel six testing functions.The results indicate that the algorithm NL-CFPSO is more accurate than CFPSO,and with a low time complexity.The algorithm is utilized to the calculating simulation of cardiac electromagnetic model.And the result can indicate that the accurate parameter of the model can be obtained by the algorithm,which reflects the electromagnetic phenomena of cardiac model very accurately.It is high utilization.
Keywords：
Particle Swarm Optimization; constriction factor; asynchronous variant; convergence precision;
- DOI：
10.13718/j.cnki.xsxb.2014.09.016
- Series：
- Subject：
- Classification Code：
TP18;R541
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