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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。
According to the specific characteristics of large-scale ship design, four optimization objectives such as maximizing flight deck area, high initial stability, estimating drag minimization, and maximizing natural period of rolling are selected. Scale optimization design of multi-objective model, and based on the minimum deviation method to establish a unified objective function. The artificial bee colony algorithm is used to solve the optimization model, and the method of initializing the artificial bee colony algorithm and the selection mechanism of observing bees are improved. Simulation results show the superiority and improvement strategy of the artificial bee colony algorithm in solving complex problems The rationality of this algorithm and the feasibility of its application in ship design.