Title: An incorporated constrained differential evolution algorithm and its application on parameter identification of machine joint surfaces

Authors: Qing-Bo Lu; Li-Qin Liu; Xue-Liang Zhang

Addresses: Department of Mechanical Engineering, Zhengzhou Technical College, Zhengzhou, China ' Department of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, China ' Department of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, China

Abstract: In this paper, an incorporated constrained differential evolution algorithm based on Invasive Weed Optimisation (IWCDE) had been proposed. The IWCDE algorithm is based on the standard differential evolution algorithm and incorporates the Invasive Weed Optimisation Algorithm. The IWCDE algorithm proposed the new mutation strategy and the strategy of 'Infeasible individual evolution'. The proposed algorithm was compared with several other evolutionary algorithms, the results showed that the proposed algorithm could overcome the premature convergence efficiently and had better global convergence and robustness. Finally, the paper established the optimisation model of parameter identification on machine joint surfaces, solved the problem by the IWCDE algorithm.

Keywords: constrained optimisation; differential evolution algorithm; invasive weed optimisation; infeasible individual evolution.

DOI: 10.1504/IJWMC.2017.087341

International Journal of Wireless and Mobile Computing, 2017 Vol.13 No.1, pp.32 - 38

Received: 08 Jun 2016
Accepted: 23 Feb 2017
Published online: 13 Oct 2017 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article