基于改进人工蜂群算法的大型舰船主尺度优化

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。

Optimal Principal Parameters for Large Naval Ship Based on Modified Artificial Bee Colony Algorithm

The multi-objective optimization design model of large naval ship principal parameters was established,according to the characteristics of large naval ship’s conceptual design.Maximizing the area of flight deck,rationalizing the initial metacnetric height of ship,minimizing the estimate resistance and maximizing the natural rolling period were selected as the four objectives of the optimization model,and the minimum-deviation method was applied to establish the unified 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.