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作 者:赵伟[1] ZHAO Wei(Yantai University,Ocean College,Yantai 264005,China)
出 处:《舰船科学技术》2018年第10期87-92,共6页Ship Science and Technology
基 金:山东省自然科学基金资助项目(ZR2015EL033)
摘 要:本文阐述一种使用基于降维和排序的改进遗传算法对海洋工程船进行推力分配的方法。该方法在简化传统目标函数的基础上使等式约束严格满足,并采用在推力禁区内设置推力减额系数的方法避免全回转推进器的水动力干扰。为提高优化速度及精度,从2个方面对遗传算法进行改进:1)继承上一时刻的精英个体来生成等距初始种群;2)结合自适应算法加强局部搜索能力。根据经验数据对海洋工程船6种运行工况的隶属度函数进行求解,并基于燃油消耗的经济性对海洋工程船的动力进行分配,得到在不同工况下的最佳功率混合度。In this paper, a method of thrust distribution for marine engineering ships is described by using improved genetic algorithm based on dimension reduction and ranking. This method strictly satisfies the equality constraint on the basis of simplifying the traditional objective function, and adopts the method of setting the thrust reduction coefficient in the thrust forbidden zone to avoid the hydrodynamic disturbance of the full-rotary propeller. In order to improve the optimization speed and accuracy, the genetic algorithm is improved from two aspects: one is to inherit the last moment elite individuals to generate the equidistant initial population; the second is to combine adaptive algorithms to enhance the local search capabilities.Based on the empirical data, the membership functions of six kinds of operating conditions of ocean engineering ship are solved, and the power of marine engineering ship is distributed based on economy of fuel consumption, finally, the optimal power mixing degree is obtained under different working conditions.
分 类 号:U664.33[交通运输工程—船舶及航道工程]
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