Design SAC of Ship with Ant Colony Optimization Algorithm
The method of amending chord length parameterization was used to process different feasible point vectors of ship’s section area, and the parameterized cubic spline curves were used to express the different subsections of ship’s section area curve (SAC). The work of designing a good ship’s SAC was converted to a problem of multi-objective optimization. The objects of single functions were set as the minimum deformation energy of the curve Edef, the best length of parallel middle body of the ship Cp, the best position of parallel middle body of the ship, the best longitudinal position of buoyancy center of the ship XB, and so on. Ant colony optimization (ACO) algorithm was used to create the objective ship’s SAC as well as optimizing it, and the niche mechanism was introduced in to enhance the ability of curve to rectify itself in a narrow scope, so the curve would keep changing to be rational gradually. Refer to the principal dimensions of a battleship, the SAC of it was created again with the new method. The comparison between the new SAC and the original one shows that, niche ant colony algorithm is an effective method to create new SAC of ship when there is no mother curve to modify.
Ship’s SAC ulti-objective optimization Ant colony optimization algorithm Nche mechanism
Xiang-yin Meng Sheng Huang
College of Shipbuilding Engineering Harbin Engineering University Harbin, Heilongjiang Province,China
国际会议
2010 IEEE信息与自动化国际会议(ICIA 2010)
哈尔滨
英文
1-6
2010-06-20（万方平台首次上网日期，不代表论文的发表时间）