Posture Optimization Algorithm for Large Structure Assemblies Based on Skin Model

Algorithm 1

Pseudo code of the improved GA-PSO algorithm.

Initialize the population and calculate the fitness so as to find the optimal position of particle i

and the global optimal position

Set evolution times and initialize the current iteration g = 1

  do

Update the velocity vector of every particle according to Eq. (6)

Update particle position according to the position equation Eq. (7)

Embed crossover and mutation operations

Initial probabilities of crossover () and mutation ()

Generate new solution by crossover and mutation

if >rand, crossover; end if

if >rand, mutate; end if

Accept the new solution if its fitness increases

Update the of particle i and the global optimal position

  While accuracy requirement or maximum iterations is not satisfied