particle-swarm-optimization-python

Will contain different versions of particle swarm optimization.

simple particle swarm

This script will contain a very basic particle swarm algorithm. It will contain 2 main classes: Particle and PSO. Particle implements a particle object. A particle has some characteristics:

• position ( called pPosition)
• velocity ( called pVelocity)
• inertia coefficient ( called inertia)
• sociality coefficient ( called soc)
• cognitivity coefficient ( called cog)

On top of those 5 characteristics, it also keeps in memory the following information:

• best position ever found. ( called pBestPosition)
• the value of the objective function at the best position ever found. ( called pBestSolution)

Each particle is part of a swarm. In this simple version there is only one swarm, so every particle belongs to the same swarm.