A Methodology using Partial Swarm Optimization and Kriging to Ship Multidisciplinary Design Optimization

摘要：

Ship optimization design is a complex multidisciplinary process due to determining ship configuration variables that satisfy a set of mission requirements. In this paper A Monte Carlo method (MCM) is employed to explore the design space and to sample data for covering the design space. Particularly in ship multidisciplinary design optimization, we investigate the use of kriging sampling methods for constructing global approximations and fit model to facilitate multidisciplinary design optimization (MDO). In this search (MDO) are used to computational expense and organizational complexity, Partial Swarm Optimization (PSO) adopt as a feasible alternative to the existing sizing and optimization methods and to illustrate the appropriate design result in approach through (MDO) process, the objective of this search to minimum ship running cost which it subjected to constraints in performance, geometric parameters, power of population and voyage. Finally, the validity of the proposed methodology is proven by a case study of a bulk carrier.

关键词： Ship multidisciplinary design optimization kriging sampling methods Partical Swarm Optimization

作者: Hesham Gorshy Xuezheng Chu Liang Gao Qingfu Sun

作者单位: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Scien WISDRI Engineering & Research Incorporation Ltd., Wuhan, Hubei, P. R. China General Office of Jinan Government, 193 Jinger Road, Jinan.250001, P. R. China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 463-467

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）