: 2021-01-15 10:42:15
Description: Particle swarm optimization (PSO) simulates the birds in the bird swarm by designing a kind of massless particle. The particle has only two attributes: speed and position. Speed represents the speed of moving and position represents the direction of moving. Each particle separately searches for the optimal solution in the search space, and records it as the current individual extremum, and shares the individual extremum with other particles in the whole particle swarm, and finds the optimal individual extremum as the current global optimal solution of the whole particle swarm. All particles in the particle swarm according to their current individual extremum and the current global optimal solution shared by the whole particle swarm Solution to adjust their own speed and position.
PSO-Algorithm-main, 0 , 2020-10-08
PSO-Algorithm-main\PS0_D1.m, 2092 , 2020-10-08
PSO-Algorithm-main\README.md, 38 , 2020-10-08