船舶水动力性能的多目标优化方法

Investigation of multi-objective optimization on ship hydrodynamic performance

很多对船舶水动力性能的优化都是对单一性能进行研究,已经不适用于现代化的造船要求。本文对不同遗传算法和粒子群优化算法进行分析,探讨其在船舶水动力性能优化方面的作用,以DTMB5415为母型船进行优化,改变不同算法的参数设置观察优化结果,最后通过分析Pareto解得到最适用于本次研究的优化算法及其参数设置。

There are several ways to optimize the ship resistance,seakeeping or the ship maneuverability in the last decades.However,most methods just take the only one performance into consideration and this is not suitable for the modern ship design and building.The paper analyzes the use of five multi-objective optimization algorithms such as archive-based micro genetic algorithm （AMGA）,multiisland genetic algorithm （MIGA）,neighborhood cultivation genetic algorithm （NCGA）,non-dominated sorting genetic algorithm Ⅱ （NSGA Ⅱ） and particle swarm optimization （PSO） in ship hydrodynamic performance,then finding the best method and its parameters based on DTMB5415.