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. 2019 Jul 13;19(14):3096. doi: 10.3390/s19143096
c1, c2 personal cognition coefficient, social cognition coefficient
c1max, c2max maximum values of acceleration coefficients
c1min, c2min minimum values of acceleration coefficients
D optimal route length
i i-th particle
K evaluation parameter
M maximum number of iterations
m current number of iterations
mcri critical number of iterations
N number of particles
P number of successfully converged particles in a single iteration
Pis individual best known position
Pgs swarm best known position
Q number of planned points
r1, r2 random numbers
R swarm size
s s-th dimension
vis velocity value for s-th dimension and i-th particle
Vi velocity vector
w inertia weight
wmax, wmin maximum and minimum value of inertia weight
Xi position vector
xis position value for s-th dimension and i-th particle
Abbreviations
ACO ant colony optimization
APSO particle swarm optimization with adaptively controlled acceleration coefficients
AWIPSO particle swarm optimization with adaptively controlled acceleration coefficients, linearly descending inertia weight, and random grouping inversion
AWPSO particle swarm optimization with adaptively controlled acceleration coefficients and linearly descending inertia weight
CPSO conventional particle swarm optimization
NGC navigation, guidance and control system
PSO particle swam optimization
TSP traveling salesman problem
USV unmanned surface vehicle