基于多种群萤火虫算法的集装箱船结构优化

Structure Optimization Design of Container Ship Based on Multi Group Firefly Algorithm

针对集装箱船结构优化问题,依据CCS规范建立以集装箱船舯剖面面积最小为优化目标,板厚、型材横截面积为离散设计变量的优化数学模型。提出一种多种群萤火虫算法,各种群设置不同的参数,提高搜索区域,多子群并行寻优、子群主群协作寻优提高算法寻优性能,对所建模型进行优化计算。优化算例表明,所提出的多种群萤火虫算法比标准萤火虫算法可以更快的收敛得到最优解,在满足所有约束条件情况下,集装箱船舯剖面面积最小约13.2%,验证了多种群萤火虫算法应用于集装箱船结构优化的有效性。

Aiming at the problem of structure optimization of container ship, according to the CCS specification for the minimum container ship midship area target, plate thickness, cross sectional area for profile optimization mathematical model of discrete design variables. A multigroup firefly algorithm is proposed.Different groups are set up with different parameters to improve search area, multi sub group parallel optimization, sub group main group cooperation optimization, and algorithm optimization performance is improved, and the optimized model is calculated. Optimization examples show that multiple firefly algorithm proposed can get the optimal solution faster convergence than the standard firefly algorithm, which satisfies all the constraints under the condition of container ship midship minimum area of about 13.2% and verifies the effectiveness of the multiple firefly algorithm applying to the of the container ship structure optimization.