Particle Swarm Optimization (PSO) Projects

PSO Particle Swarm Optimization Projects

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The table lists the latest Particle Swarm Optimization  PSO Projects-

A particle swarm searching for the global minimum of a function

In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solutionwith 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.

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