**PSO**

Particle Swarm Optimization has been known as PSO. It is
a computational method which optimizes a problem by iteratively trying to
improve a candidate’s solution with respect to a given measure of quality. In
this problem is solved with population of candidate having solutions. Where
particles are dubbed and moved. Then these particles are moved here and there
in the search-space by simple mathematical formulae which depend upon position & velocity of a particle. Movement
of every particle can be influenced with local best known position in
search-space best known positions is also arranged. Furthermore updated as good
positions and these positions are taken by particles and then expected to
relocate swarm to the best solutions available. PSO is also not using gradient of
issues that have been optimized.

** PSO**

**Particle swarm optimization** has been known as popular
calculation mechanism. It is optimizing the issues in iterative manner. It has
been used to maximize a candidate solution s per the offered quality measure.
It has capability to sort out the issues by using sample of candidate
population.

**Algorithm
of PSO**

In
computer science, particle swarm optimization (PSO) is a computational method
that optimizes a problem by iteratively trying to improve a candidate solution
with regard to a given measure of quality. It solves a problem by having a
population of candidate solutions, here dubbed particles, and moving these
particles around in the search-space according to simple mathematical formulae
over the particle's position and velocity. Each particle's movement is influenced
by its local best known position, but is also guided toward the best known
positions in the search-space, which are updated as better positions are found
by other particles. This is expected to move the swarm toward the best
solutions.

PSO is one of the most
famous and very useful met heuristics in the current age hence it showed the
success of various optimization problems after applied on. The basic principle
of this model is self-organization that describes the dynamics of complex
systems. PSO uses an extremely streamlined model of social conduct to take care
of the optimization problems, in a cooperative and intelligent framework.

**Relationship of reinforcement learning to Swarm
Intelligence**