Robust optimization for ship conceptual design
Robust optimization for ship conceptual design
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DOI：
10.1016/j.oceaneng.2010.03.010
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发表时间：
2010-08
影响因子：
5
通讯作者：
M. Diez;D. Peri
中科院分区：
文献类型：
--
作者：
M. Diez;D. Peri
本文提出了一种方法，散装货船概念设计的鲁棒优化，受到不确定的操作和环境条件。在优化过程中所涉及的不确定性的解决和鲁棒设计的一般配方。具体而言，在决策过程中所涉及的不确定性考虑到他们的概率分布。相关量的期望值和标准偏差被评估并包括在优化目标中，而约束在最坏情况下被评估。这导致能够在整个概率操作场景中保持良好性能的稳健设计。粒子群优化算法用于全局最小化过程，最小化单位运输成本的期望和标准差。
The paper presents an approach for the robust optimization of a bulk carrier conceptual design, subject to uncertain operating and environmental conditions. The uncertainties involved in the optimization process are addressed and a general formulation for robust design is given. Specifically, the uncertainties involved in the decision making process are taken into account by means of their probabilistic distributions. The expected values and the standard deviations of the relevant quantities are assessed and included in the optimization objectives, whereas the constraints are evaluated in the worst case. This leads to a robust design able to keep a good performance in the whole probabilistic operating scenario. A particle swarm optimization algorithm is used for the global minimization process, minimizing the expectation and the standard deviation of the unit transportation cost.