Adaptive Particle Swarm Optimization Algorithm

Ready-to-run adaptive PSO algorithm with configurable parameters. Key parameters include: wmax = 0.9; % Maximum velocity constraint wmin = 0.01; % Minimum velocity constraint itmax = 100; % Maximum iteration count c1 = 2; % Learning factors c2 = 2; W = (wmax-wmin)/itmax; % Weight calculation Particle swarm initialization with position and velocity settings xmin = -3; % Parameter minimum bounds xmax = 3; % Parameter maximum bounds N = 100; % Particle population size D = 2; % Number of parameters/dimensions t = 0.01 % Step size control