In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its codes in MATLAB environment have been included. The eectiveness 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.

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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