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Particle swarm path planning is a heuristic optimization algorithm that simulates the social behavior of bird flocking or fish schooling. It is a metaheuristic method used in computer science, engineering, and other fields to find an optimal solution to a problem. The algorithm works by creating a "swarm" of particles that move around in search of the optimal solution. Each particle represents a potential solution to the problem, and the swarm as a whole searches the solution space by adjusting the position and velocity of each particle. The algorithm is known for its ability to find high-quality solutions quickly and efficiently.