基于人工蜂群算法的油船舯剖面优化设计

人工蜂群算法(ABC)是模仿蜜蜂行为提出的一种优化方法,通过各人工蜂个体的局部寻优行为,最终在群体中使全局最优值凸显出来,有着较快的收敛速度1]。本文基于HCSR规范,以中剖面净面积最小为优化目标,以区域纵骨间距个数、板厚、型材尺寸、板缝位置为设计变量,采用ABC算法,建立了适用于油船的中剖面优化设计模型。以一艘32000DWT油船为例,对其进行了优化设计,优化结果验证了人工蜂群算法用于船舶中剖面结构优化的可行性和高效性。

Optimization Design of Oil Tanker Middle Section Based on Artificial Bee Colony Algorithm

Artificial bee colony algorithm (ABC) is an optimization method which imitates the behavior of honeybee. Through the local optimization behavior of each artificial bee individual, the global optimal value emerges eventually in the colony and has a faster convergence speed1]. Based on the HCSR, a mid-section optimization design model suitable for oil tankers is established, it takes the minimum net area of the mid-section as the optimization objective, the number of regional longitudinal spacing, plate thickness, profile size and the position of plate seam as the design variables, artificial bee colony algorithm as its optimization algorithm. Then a 32000 DWT oil tanker is carried out for optimization by using this model, which shows the high efficiency of the artificial bee colony algorithm applied to the optimization of the midship section structure.