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首页> 外文会议>AETA conference >A Hybrid Genetic Algorithm - Sequential Quadratic Programing Approach for Canting Keel Optimization in Transverse Stability of Small Boat Design
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A Hybrid Genetic Algorithm - Sequential Quadratic Programing Approach for Canting Keel Optimization in Transverse Stability of Small Boat Design

机译：船舶设计横向稳定性斜角优化的混合遗传-序列二次规划方法。

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摘要

The transverse stability is one of the most important characteristics of the ship in survivability. This factor can be influenced by wind, moving cargoes and passengers. In order to avoid maritime accidents Duc to parametric rolling, several ways are considered in the practical situation such as active and passive anti rolling method. The canting keel is a practical tool for the enhancement of ship stability. In the early ship design stage, this problem is considered to be multimodal objective problem. In the present research, a hybrid optimization technique, genetic algorithm - sequential quadratic programing (GA-SQP) is developed to determine the appropriate parametric values of design of canting keel.
机译：横向稳定性是船舶生存能力的最重要特征之一。这个因素会受到风，移动的货物和乘客的影响。为了避免因参数滚动引起的海事事故，在实际情况中考虑了主动和被动反滚动方法。倾斜龙骨是提高船舶稳定性的实用工具。在船舶早期设计阶段，该问题被认为是多峰目标问题。在本研究中，开发了一种混合优化技术，遗传算法-顺序二次规划（GA-SQP），以确定倾斜龙骨设计的适当参数值。

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