AI and Business
Particle swarm optimization (PSO) is a computational method used for optimizing a problem by iteratively improving a candidate solution with regard to a given measure of quality. It is inspired by the social behavior of birds and fish, where individuals in a group share information about their positions and velocities to find optimal solutions. This technique is especially useful in workforce planning and optimization, as it can efficiently solve complex scheduling and resource allocation problems by simulating a swarm of particles searching for the best solution in a multidimensional space.
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