[−][src]Module optlib::particleswarm::velocitycalc
Structs
| CanonicalVelocityCalculator | CanonicalVelocityCalculator implements the "canonical" equation:
v_i = xi * (v_i + phi_p * r_p * (p_i - x_i) + phi_g * r_g * (g_i - x_i))
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| ClassicVelocityCalculator | ClassicVelocityCalculator implements the equation from the article
Kennedy, J.; Eberhart, R. (1995). "Particle Swarm Optimization".
Proceedings of IEEE International Conference on Neural Networks IV, pp.1942-1948.
v_i = v_i + phi_p * r_p * (p_i - x_i) + phi_g * r_g * (g_i - x_i)
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| ConstInertia | The inertia coefficient (w) does not depend on the iteration number |
| InertiaVelocityCalculator | InertiaVelocityCalculator implements the equation with itertia coefficient w(t)
v_i = w(t) * v_i + phi_personal * r_p * (p_i - x_i) + phi_global * r_g * (g_i - x_i)
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| LinearInertia | The inertia coefficient decreases linearly from w_max to w_min |
| NegativeReinforcement | Velocity update with negative reinforcement, global and current best and worst positions. v_i = xi * (v_i + phi_best_personal * rb_p * (p_best_i - x_i) + phi_best_current * rb_c * (c_best_i - x_i) + phi_best_global * rb_g * (g_best_i - x_i) - phi_worst_personal * rw_p * (p_worst_i - x_i) - phi_worst_current * rw_c * (c_worst_i - x_i) - phi_worst_global * rw_g * (g_worst_i - x_i)) |
Traits
| Inertia | The trait to calculate the inertia coefficient (w) for InertiaVelocityCalculator |