چكيده لاتين :
A discrete vers ion of Particle Swann Ant Colony Optimization (DPSACO) for design of
frame structures is presented. DPSACO, similar to continous PSACO, is based on a particle
swarm optimizer, worked as a global search, and ant colony optimization employed as a
local search. In the DPSACO, the nearest permitted discrete value is replaced with any
value selected by agents (Parti cles or ants). Therefore, the positi ons of all agents always
contain the permitted discrete values. In order to improve the exploration of the proposed
method , a new formu la for particlesי velocity is defined. Two desi gn examples are tested
using the new method and their results are compared with the results of other PSO-based
algorithms to demonstrate the effectiven ess of the presented method.
