A dynamic positioning thrust allocation approach based on a hybrid artificial colony bee algorithm with chaotic search. (1st January 2014)

• Record Type: Journal Article
• Authors: Wu, Defeng; Ren, Fengkun; Yang, Guohao; Warwick, Kevin
• Is Part Of: International journal of modelling, identification and control. Volume 22:Number 3(2014)
• Page Start: 236
• Page End: 248
• Publication Date: 2014-01-01
• Subjects: trust allocation -- hybrid artificial bee colony algorithm -- particle swarm optimisation -- PSO -- chaotic search -- differential evolution; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

Abstract

Trust 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.