PSO Particle Swarm Optimization Algorithm Demonstration
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Resource Overview
PSO Particle Swarm Optimization algorithm demonstration program featuring a graphical user interface with real-time visualization of particle movement and convergence dynamics.
Detailed Documentation
We will develop a graphical interface demonstration program for PSO (Particle Swarm Optimization) algorithm that visually displays the working process and optimization results of the algorithm. The implementation will include key components such as particle initialization, velocity updating using cognitive and social components, position updating with boundary constraints, and fitness evaluation. The graphical interface will feature real-time visualization of particle movements, convergence curves, and optimal solution tracking, allowing users to adjust parameters like swarm size, inertia weight, and acceleration coefficients through interactive controls. The code structure will utilize object-oriented programming with classes for Particle, Swarm, and Visualization modules, implementing the standard PSO equations: v_i(t+1) = w*v_i(t) + c1*r1*(pbest_i - x_i(t)) + c2*r2*(gbest - x_i(t)) and x_i(t+1) = x_i(t) + v_i(t+1).
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