Particle Swarm Optimization is a biologically inspired method of search and optimization developed in 1995 by Dr. Eberhart and Dr. Kennedy. Based on the social behaviors of birds flocking or fish schooling, this technique represents possible solutions as "particles" as they "fly" like a swarm through the solution space. Like a flock, the swarm gravitates towards the "leader", the current best known solution, accelerating and turning as better solutions are found. Research on these systems has demonstrated that PSO can efficiently find better solutions than many other techniques for many complex problems.