基于混沌的船舶操纵性能优化计算

Ship Maneuverability Optimization Computation Based on Chaos

针对一般的基于二次载波的混沌优化方法收敛慢的弱点,提出了一些改进的方法,大大提高了首次载波寻找最佳点大概位置的速度和效能,同时能更快更精确地实现二次载波的精细搜索.另外,针对多变量优化最后几个变量精度较差的问题,提出了三次载波的概念并付诸实现.多个算例计算结果表明,本文提出的方法十分有效.最后,成功地将该算法用于某型船的操纵性能优化计算之中,结果令人满意.*

Some methods are put forward for improving the convergence rate of the COA （chaos optimization algorithm） based on second carrier wave, which can greatly increase the velocity and efficiency of the first cartier wave to search for the optimal point at comparatively rough precision, and the refined search can be performed during second carrier wave more quickly as well as accurately. In addition, the concept of third cartier wave is put forward and is put into practice, to tackle the multi-variable optimization problems where the searching for the optimal position of the last several variables is frequently worse than the first several ones. Quite a number of computing examples indicate that the method in this paper is quite effective. Finally, this method is successfully applied to the maneuverability optimization computation of a special kind of ship, and the outcome is satisfactory.