Particle Swarm Optimization
• Particle Swarm Optimization (PSO) was introduced by Kennedy and Eberhart in the mid-1990s.
•It is a population-based stochastic approach which has been grouped under swarm intelligence (Kennedy, 2006; Engelbrecht, 2007; Parsopoulos & Vrahatis, 2007) and evolutionary computation (Trelea, 2003).
•PSO can be used to solve continuous and discrete problems.
•PSO was derived from a concept of a flock of birds which fly everywhere to find food.
•Each bird is illustrated as a particle.
•Each particle moves stochastically in search space for a feasible solution.
•Each of the particles has its own velocity and position.
