A DISCRETE PARTICLE SWARM ANT COLONY OPTIMIZATION FOR DESIGN OF STEEL FRAMES

A discrete version of Particle Swarm 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 (Particles or ants). Therefore, the positions of all agents always contain the permitted discrete values. In order to improve the exploration of the proposed method, a new formula for particles' velocity is defined. Two design examples are tested using the new method and their results are compared with the results of other PSO-based algorithms to demonstrate the effectiveness of the presented method.

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