Description: In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its
codes in MATLAB environment have been included. The e ectiveness of the algorithm has been analyzed
with the help of an example of three variable optimization problem. Also, the convergence characteristic
of the algorithm has been discussed.
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File list (Check if you may need any files):
data\laserscan-1.mat
data\laserscan-2.mat
data\laserscan-3.mat
data\laserscan-4.mat
data\laserscan-5.mat
data\laserscan-6.mat
data\laserscan-7.mat
data\laserscan-8.mat
data\laserscan-9.mat
data\map.pgm
data\map.yaml
output\laserscan-1-fit1.png
output\laserscan-1.png
output\laserscan-2-fit1.png
output\laserscan-2.png
output\laserscan-3-fit1.png
output\laserscan-3.png
output\laserscan-4-fit1.png
output\laserscan-4.png
output\laserscan-5-fit1.png
output\laserscan-5.png
output\laserscan-6-fit1.png
output\laserscan-6.png
output\laserscan-7-fit1.png
output\laserscan-7.png
output\laserscan-8-fit1.png
output\laserscan-8.png
output\laserscan-9-fit1.png
output\laserscan-9.png
.gitignore
ipso.m
LaserScan_fitness.m
LaserScan_gradiant.m
LaserScan_load.m
LaserScan_plot.m
LaserScan_pso.m
LaserScan_search.m
Localize_ipso.m
Localize_pso.m
Localize_search.m
map_preprocess.m
pso.m
output\output
data
output
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