Application of Imperialist Competitive Algorithm to optimization problems arising in welding process

Authors

1 Department of Mechanical Engineering, University of Huddersfield, UK

2 Institute of Standard and Industrial Research of Khorramshahr, Khouzestan, Iran.

3 Department of computer engineering, Islamic Azad University, Khoramabad, Iran

Abstract

The Imperialist Competitive Algorithm (ICA) that was recently introduced has shown its good performance in optimization problems. This algorithm is inspired by competition mechanism among Imperialists and colonies, in contrast to evolutionary algorithms. This paper presents optimization of bead geometry in welding process using of ICA. Therefore, two case studies from literature are presented to show the effectiveness of the proposed algorithm. ICA has demonstrated excellent capabilities such as simplicity, accuracy, faster convergence and better global optimum achievement. The results of ICA were finally compared with the Genetic Algorithm (GA). The outcome shows the success of ICA in optimizing the weld bead geometry.