摘要
针对压力容器优化设计问题,建立以压力容器壳体质量最小为优化目标,内径和壁厚为离散设计变量的优化数学模型。提出一种改进的萤火虫算法,该算法通过采用自适应步长策略、跳出局部最优策略及空间域约束策略,改善算法的全局寻优能力和收敛性能。仿真结果表明所提出的改进萤火虫算法比基本萤火虫算法可以更快的收敛得到最优解,可有效解决压力容器优化设计问题。
In order to optimize the design of the pressure vessel, an optimization mathematical model was established. It takes the minimum quality of the pressure vessel shell as its optimization object, the inner diameter and wall thickness as its discrete design variables. The essay puts forward an improved firefly algorithm and it can improve the overall searching ability and the convergence performance of the algorithm by adopting the self-adaptive step size strategy, ignoring the local optimal strategy and the spatial domain constraint strategy. Simulation results show that compared with the normal one, improved firefly algorithm can converge to the optimal solution faster, and it can also effectively solve the problem of optimal design for the pressure vessel.
出处
《机械强度》
CAS
CSCD
北大核心
2017年第3期598-602,共5页
Journal of Mechanical Strength
基金
舟山市科技局科技项目(2015C31014)资助~~
关键词
改进萤火虫算法
压力容器
离散变量
优化设计
Improved firefly algorithm
Pressure vessel
Discrete variables
Optimum design
