Title: A dynamic positioning thrust allocation approach based on a hybrid artificial colony bee algorithm with chaotic search

Authors: Defeng Wu; Fengkun Ren; Guohao Yang; Kevin Warwick

Addresses: Marine Engineering Institute, Jimei University, Xiamen 361021, China ' Marine Engineering Institute, Jimei University, Xiamen 361021, China ' Marine Engineering Institute, Jimei University, Xiamen 361021, China ' Department of Cybernetics, University of Reading, Whiteknights, Reading RG6 2AL, UK

Abstract: Thrust allocation (TA) is an important part in dynamic positioning system. The function of TA is to allocate thrust and angle of each thruster so that the desired force and moment can be achieved. In this study, a hybrid artificial bee colony algorithm with chaotic search (HABCC) which introduces mutation operator from differential evolution (DE), social cognitive part from particle swarm optimisation (PSO) to honeybee search strategy and chaotic search to scouts searching, is proposed. Therefore, the capacity of exploration and exploitation is greatly improved. The optimal search of HABCC is speeded up compared with traditional ABC algorithm and the probability of finding the optimal results and avoiding local optimum is significantly increased. The effectiveness of the HABCC algorithm is demonstrated by simulations.

Keywords: thrust allocation; artificial bee colony; hybrid ABC algorithm; particle swarm optimisation; PSO; chaotic search; differential evolution; chaos; dynamic positioning systems; simulation.

DOI: 10.1504/IJMIC.2014.065342

International Journal of Modelling, Identification and Control, 2014 Vol.22 No.3, pp.236 - 248

Published online: 30 Oct 2014 *

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