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Optimal Ballast Scheme Design for Ships Using an Improved Genetic Algorithm
点击次数:
论文类型:期刊论文
发表时间:2009-02-01
发表刊物:International Journal of Innovative Computing and Applications
收录刊物:EI、Scopus
卷号:2
期号:2
页面范围:133-139
摘要:Loading design is a key stage in ships' design process, and directly affects ships' stability, strength, and attitude at sea. The problem of loading design is a multi-objective combinatorial optimisation problem with multiple nonlinear constraints. In this paper, based on the complex technical requirements of ships' loading design, a mathematical model was constructed, taking the overall longitudinal strength and the intact stability performances as objectives, and the limits of ship's attitude, stability and strength, etc. as constraints. A strategy of tanks being fully-loaded-first was adopted and the corresponding improved genetic algorithm was presented where a novel heuristic dynamic adjusting rule was proposed to dynamically adjust the normalising coefficients of the non-commensurable objectives. Finally, a real case study on the loading design of a 50, 000 DWT double hull product tanker was conducted to illustrate the effectiveness of the proposed method. Copyright ? 2009 Inderscience Enterprises Ltd.