文件名称:Code-FLC-ANFIS-GA-PSO
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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.
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.
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下载文件列表
ANFIS\anfis2.fis
.....\dstatcomanfis.mdl
FUZZY\dstatcomfuzzy.mdl
.....\flc.fis
GA\dstatcomGA.mdl
..\RUNGA.m
PSO\dstatcomPSO.mdl
...\PID_f.m
...\RUNPSO.m
ANFIS
FUZZY
GA
PSO