OPTIMIZATION OF CYCLE TIME OF PALLETIZATION USING ABB ROBOT THROUGH PARTICLE SWARM OPTIMIZATION ALGORITHM AND TRANSLATIONAL APPROACH

Abstract

This paper presents an efficient and reliable evolutionary-based approach to solve palletization problem. The proposed approach employs particle swarm optimization (PSO) algorithm for minimization of cycle time of palletizing robot i.e. IRB-1600. The operator of algorithm are reviewed, focusing on how each affects search behaviour in the problem space. This paper first analyzes the impact of the parameters i.e. population size and maximum run on the performance of the particle swarm optimizer. Numerical results show that the different algorithm perform optimally for the tested instances in a reasonable computational time. The proposed approach results have been compared to those that reported in the literature recently. The results are promising and show the effectiveness and robustness of the proposed approach.