Particle swarm optimization: Difference between revisions

Revision as of 09:24, 9 October 2003

Revision as of 21:30, 18 March 2004

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'''Particle swarm optimization''' is a [[problem solving]] technique for solving problems where the answer can be represented as a point in n-dimensional space. Hypotheses are plotted in this space and given a velocity and direction, as well as a communication channel between the particles. [[Particle]]s then "move" through the solution space, and are evaluated for [[fitness (biology)|fitness]] at each iteration. Particles adjust their velocity and direction towards those particles within its communication grouping which have better fitness values.

==References==