摘要
针对大型舰船方案设计的具体特点,选择了飞行甲板面积最大化、初稳性高最合理化、估算阻力最小化和横摇固有周期最大化等4个优化目标,建立了适用于大型舰船主尺度优化设计的多目标模型,并基于最小偏差法建立了统一的目标函数。采用人工蜂群算法对优化模型进行了求解,并对人工蜂群算法的初始化方法和观察蜂的选择机制进行了改进,通过仿真计算,验证了人工蜂群算法求解复杂问题的优越性和改进策略的合理性,以及该算法在船舶设计中应用的可行性。
The multi objective optimization design model of large naval ship principal parameters was established, ac- cording to the characteristics of large naval ship＇s conceptual design. Maximizing the area of flight deck, rationalizing the initial metacnetrie height of ship, minimizing the estimate resistance and maximizing the natural rolling period were se- lected as the four objectives of the optimization model, and the minimum-deviation method was applied to establish the u- nified objective function. The artificial bee colony algorithm was used to solve the optimization model, and the initialize method and the choice mechanism of onlooker bee were modified. Through the simulation calculation, it demonstrates that the artificial bee colony algorithm has the superiority of solving the complex problem, the rationality of the modified strategy and the feasibility for the algorithm to apply in ship preliminary design.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2012年第6期58-62,90,共6页
Journal of Wuhan University of Technology
基金
国家自然科学基金(41176074)
中央高校基本科研业务费专项基金(HEUCF110106)
博士点基金(20102304120026)
关键词
大型舰船
人工蜂群算法
主尺度
方案设计
large naval ship
artificial bee colony algorithm
principal dimensions
conceptual design
