Swarm Intelligence and Robotics
Convergence refers to the process by which a swarm of particles, representing potential solutions, moves closer to an optimal solution in a defined search space. In particle swarm optimization, this concept is crucial as it indicates the algorithm's ability to find a good solution over time, ensuring that the particles collectively hone in on the best solution found so far. This process is influenced by various factors including the cognitive and social components of particle behavior, inertia weights, and overall swarm dynamics.
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