Particle Swarm
Optimization Technique
PhD. Student: MOHAMAD KINAN OTHMAN
, Particle Swarm Optimization Technique
Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy
based on the social behaviors of birds flocking or fish schooling.
PSO was developed by studying the behavior of birds interacting with each
other and their environment.
The basis of the algorithm is that birds move according to the locations of
birds close to food in the flock.
In this context, PSO goes to a solution by aiming to gather around the most
suitable solution.
Optimization Technique
PhD. Student: MOHAMAD KINAN OTHMAN
, Particle Swarm Optimization Technique
Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy
based on the social behaviors of birds flocking or fish schooling.
PSO was developed by studying the behavior of birds interacting with each
other and their environment.
The basis of the algorithm is that birds move according to the locations of
birds close to food in the flock.
In this context, PSO goes to a solution by aiming to gather around the most
suitable solution.