Figure 1
Development of the global attractor value of the PSO algorithm with constant/fixed precision (64 bits for mantissa) and adjusting precision while optimizing the four dimensional Rosenbrock function with four particles.
Figure 2
Development of the global attractor value of the PSO algorithm with constant/fixed precision (64 bits for mantissa) and adjusting precision while optimizing the four dimensional Rosenbrock function with two particles.
Figure 3
Development of the relative potential Ψ of the PSO algorithm with constant/fixed precision (64 bits for mantissa) and adjusting precision while optimizing the four dimensional Rosenbrock function with two particles.
Figure 4
Class diagram of Statistics class.
Figure 5
Class diagram of Particle class.