基于伪并行改进遗传算法的线列阵隔振系统参数优化

摘要

Improved pseudo parallel genetic algorithm(PPIGA)was applied in parameter optimization of vibration isolation system in towed array sonar. In order to make isolation capacity maximize, using PPICA search best material parameters which include inside oil-filled density, sheath elastic modulus and elastic modulus of isolation components. The computer results show that PPICA has good effect in parameter optimization of vibration isolation system.%利用伪并行改进遗传算法( PPIGA)的思想,将其应用于拖曳线列阵隔振系统参数优化.通过伪并行改进遗传算法搜索出最优的材料参数(内部充油密度、护套材料的弹性模量、隔振组件的弹性模量)使得系统的隔振量最大.计算结果表明,这种算法在隔振系统参数优化中具有较好的效果.