Particle Swarm Optimization Algorithm for Finding Global Minimum of Objective Function
Dynamic code demonstration of particle swarm optimization algorithm locating the global minimum of an objective function. The implementation allows customization by modifying the target function definition to solve various optimization problems, with particles adjusting positions through velocity updates and neighborhood communication.