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Code-FLC-ANFIS-GA-PSO

于 2016-03-13 发布文件大小:184KB

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代码说明：

We describe in this paper a new hybrid approach for mathematical function optimization combining Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) using Fuzzy Logic for parameter adaptation and integrate the results. The new evolutionary method combines the advantages of the fuzzy logic to give us an improved FPSO+FGA hybrid method. Fuzzy Logic is used to combine the results of the PSO and GA in the best way possible.

文件列表：

ANFIS
.....\anfis2.fis,519,2014-04-30
.....\dstatcomanfis.mdl,409163,2016-03-11
FUZZY
.....\dstatcomfuzzy.mdl,409150,2016-03-11
.....\flc.fis,510,2016-03-06
GA
..\dstatcomGA.mdl,340253,2016-03-11
..\RUNGA.m,2491,2016-03-11
PSO
...\dstatcomPSO.mdl,402365,2016-03-13
...\PID_f.m,4298,2010-01-11
...\RUNPSO.m,14835,2016-03-13

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