Modified quantum particle swarm optimization for translation control of immersed tunnel element with pontoons

Issue title: The 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017)

Guest editors: Wen-Hsiang Hsieh

Article type: Research Article

Authors: Li, Jun-Jun^a | Xu, Bo-Wei^{b; *} | Wu, Hua-Feng^a

Affiliations: [a] Merchant Marine College, Shanghai Maritime University, Shanghai, P.R. China | [b] Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, P.R. China

Correspondence: [*] Corresponding author. Bo-Wei Xu, Institute of Logistics Science & Engineering, Shanghai Maritime University, 1550 Haigang Ave, Shanghai, P.R. China. E-mail: xubowei138@126.com.

Abstract: Immersed tube tunnel serves as a preferred method of construction in large underwater tunnel engineering. In this work, modified quantum particle swarm optimization for translation control of immersed tunnel element with pontoons is studied aiming at its specific configuration. The translation control model is built based on the resistances of immersed tunnel element and two floating pontoons. To expand the search space, particles are coded according to Bloch coordinates. To make full use of three positions in each particle, they are selected with certain probabilities in accordance with the corresponding fitness values. Main dimension change and phase shift are implemented to improve the efficiency of velocity update for particles. Simulation results of Hong Kong-Zhuhai-Macao Bridge project delivers performance improvement of the proposed method.

Keywords: Immersed tunnel element with pontoons, translation control, quantum particle swarm optimization, Bloch coordinates of qubits

DOI: 10.3233/JIFS-169882

Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1073-1081, 2019