, called a swarm, 
, which probe the
search space simultaneously. Each particle is initialised to a random position
in the search space then, at each iteration, each particle moves with an
adaptive velocity influenced byParticle Swarm Optimization
A particle swarm optimization (PSO) is a population based stochastic optimisation technique and simulates the flight of a population of particles in a multidimensional space, where each particle represents a potential solution to the optimisation problem.
Typically, a PSO employs a population of particles, , called a swarm, , which probe the
search space simultaneously. Each particle is initialised to a random position
in the search space then, at each iteration, each particle moves with an
adaptive velocity influenced by
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