小生境进化算法及其在舰船耐波性优选中的应用

摘要

A nonlinear optimal selection model based on multi-dimensional niche evolution algorithm (NEA) was introduced. Both simulation about massively deceptive problem and successful application in seakeeping course and velocity optimum selection show that this model has virtue of speediness,high efficiency and good robustness,and it can successfully find out all those global optimal results.The conclusion about seakeeping optimum selection for replenishment is drawn that seakeeping is sensitive to course,but has a wider range of velocity to select.%本文介绍了小生境进化算法(NEA)非线性优选模型.通过对广义欺骗性问题的仿真和在舰船耐波性航向航速优选中的成功应用,及与标准遗传算法和黄金分割法的比较,表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点,并能在全局范围内有效地搜索所有最优解.应用表明,海上补给航向航速优选对于航向比较敏感,而对航速则有一个较宽的选择范围.