个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
学科:机械设计及理论. 机械电子工程
电子邮箱:huojunzhou@dlut.edu.cn
论文成果
当前位置: 复杂机电系统创新设计 >> 科学研究 >> 论文成果Optimization of Ships' Diagonal Ballast Water Exchange Sequence Using a Multiobjective Genetic Algorithm
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论文类型:期刊论文
发表时间:2010-12-01
发表刊物:JOURNAL OF SHIP RESEARCH
收录刊物:SCIE、EI、Scopus
卷号:54
期号:4
页面范围:257-267
ISSN号:0022-4502
关键字:ballast water; computers in design; ship safety
摘要:Ballast water management and the method chosen to achieve it is a key issue and concerns key technologies in ship design If the sequential exchange method is the chosen method, the sequence chosen to perform the exchange is very important and affects many aspects including ships' stability, structural strength, maneuverability, operational expenses and building cost, and so forth In this paper, based on the multiple risk assessment criteria of the sequential method, the problem of finding a feasible and optimum exchange sequence is boiled down to a multiobjective combinatorial optimization problem with multiple nonlinear constraints The diagonal exchange strategy was adopted, and the diagonal exchange mathematical model was built, taking into consideration the ship's intact stability, structural strength, trims, draughts, and bridge vision In order to find a set of Pareto solutions, a multiobjective genetic algorithm (MOGA) was used In the algorithm, a constraint-domination principle was adopted to handle the multiple constraints, and a nondominated sorting method was used to perform the selection of the Pareto solutions Using the proposed mathematic model and the MOGA, a Pareto solution set that met all the design criteria could be efficiently and accurately obtained for the engineers to choose from within short running times Compared with the traditional symmetrical exchanging method, the simulation results showed that the proposed method can produce more and better solutions with smaller trims, smaller bridge blind vision range, and better structural strength performances