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Particle-Swarm-Sphere-Optimizer

This is a Particle Swarm Optimization (PSO) based on the social behavior of bird flocking and fish schooling. The algorithm starts with a swarm of particles that iteratively explore and exploit the search space to find the optimal solution for the sphere function (3-dimensional in this demonstration). The particles update their velocities and positions based on their own best-known position and the global best position found by the swarm.

particle_swarm

Global Best Position: [4.0612158514502505e-05, -0.00015319389628730418]

Global Best Fitness: 2.5117717278892387e-08