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《Industrial Engineering Journal》 2014-05
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A Study of Archipelago Berth Allocation Based on Hybrid Particle Swarm Optimization Algorithm

Peng Jian-liang;Li Ren-jian;Li Xiu-lin;Ju Chun-hua;College of Computer Science and Information Engineering,Zhejiang Gongshang University;  
Berth allocation is the key to improving the efficiency of port operation.Aiming at the archipelago berth allocation,a model is established with minimum waiting time of ships as objective,and a hybrid particle swarm optimization(HPSO) algorithm proposed.In HPSO,simulated annealing(GA) and artificial immunity(AI) are applied to update the state of particles,thus improving the global optimization of HPSO.Numerical experiment results show that,the HPSO is an effective and feasible algorithm for solving the archipelago berth allocation problem.
【Fund】: 国家科技支撑计划资助项目(2014BAH24F06);; 浙江省自然科学基金资助项目(LY13G020006 LQ14E050001);; 浙江省公益技术研究社会发展项目(2012C23016)
【CateGory Index】: TP18
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