Designing of Elastoplastic Adaptive Truss Structures with the Use of Particle Swarm Optimization

Algorithm 1

The particle swarm optimization algorithm. For the basic AIA design problem, the particles represent consecutive elements cross sections; . If, for example, the localization of structural elements is taken into account, is extended accordingly (see Section 4.1).

(1) For each particle :

(2)  Initialize with a random value,

(3)  Let the particle’s best position will be equal to its initial one:

(4)  Assign to each particle its initial velocity so that each component of the vector

    is a random number

(5)  Calculate the objective function for particle   

(6)  Update the swarm best solution   if

(7) For each particle :

(8)  Pick random numbers , from the range

(9)  For each component :

(10)   

(11)  

(12)  If then the particle’s best  

(13)  Update the swarm best solution: if then

(14) If a given termination criterion is not met, go to (7)