首页> 外文会议>International conference on computer applications in shipbuilding >SHIP HULL FORM OPTIMIZATION USING GENETIC ALGORITHMS
【24h】

SHIP HULL FORM OPTIMIZATION USING GENETIC ALGORITHMS

机译:使用遗传算法进行船舶船体形式优化

获取原文

摘要

This paper presents a commercially viable method of hull form variation, and optimization with respect to resistance and seakeeping characteristics. Genetic Algorithms (GAs) were utilised to perform a search in an initial population of 30 designs based on a BSRA methodical series hull form. 50 generations were created with the help of selection, crossover and mutation operators. The genetic algorithm code was written as an MS-Excel Macro. It interfaced with the Maxsurf suite of software to modify designs, create new generations and evaluate each design's performance in terms of Vertical Bow Acceleration (VBA), Relative Bow Motion (RBM) and hull form resistance. The hull parameters varied were the B/T ratio (Beam/Draft), Length, and position of Longitudinal Centre of Buoyancy (LCB).
机译:本文介绍了一种商业上可行的船体形式变化方法,以及相对于抵抗和海守特征的优化。基于BSRA有条件系列船体形式,利用遗传算法(气体)在30个设计的初始群体中进行搜索。在选择,交叉和突变运营商的帮助下创建了50代。遗传算法代码被写为MS-Excel宏。它与MaxSurf软件套件接口,以修改设计,创建新代代,并根据垂直弓加速度(VBA),相对弓形运动(RBM)和船体形状电阻来评估每个设计的性能。船体参数变化是纵向浮力纵向(LCB)的B / T比(光束/射流),长度和位置。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号