Title :
Optimal model, algorism and decision support system of bulk ship loading problem
Author :
Yao Chen ; Jia-zhen Huo ; Hu Li
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ. Shanghai, Shanghai
Abstract :
Ship loading planning problem is a kind of 3/V/D/R combinational optimization problem. In this paper, a new mathematical 0-1 optimal model is proposed for the loading multi-sized bulk cargo to ship, a hybrid genetic algorithm is constructed to find a satisfying solution and a decision support system for solving a real-world problem is designed, developed and implemented. The system has successfully improved the rented shippsilas loading efficiency of a Chinese steel plant in Shanghai. The model and hybrid genetic algorithm will serve as references for the other problems in loading area.
Keywords :
bin packing; combinatorial mathematics; decision support systems; genetic algorithms; loading; ships; Chinese steel plant; Shanghai; bulk ship loading problem; combinational optimization problem; decision support system; hybrid genetic algorithm; multisized bulk cargo loading; ship loading planning problem; Decision support systems; Evolutionary computation; Marine vehicles;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631039
