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# pso - a simple particle swarm optimization
This is a basic particle swarm optimization I wrote as an exercise for university.
It is implemented in simple and clean standard C.
Included are 4 different optimization problems: sphere, rosenbrock, rastrigin, schwefel.
Particles leaving the search space are evaluated to positive infinity.
## Installation
Clone the repository.
`git clone https://muhq.space/software/pso.git`
Build pso by running `make` in the repository.
## Usage
Usage: ./pso [OPTIONS]
OPTIONS:
-p number of particles
-h print this help and exit
-t number of threads
-i iterations
-f the function to optimize
0 - sphere function
1 - rosenbrock function
2 - rastrigin function
3 - schwefel function
-a the a parameter
-b the b parameter
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