复合形-遗传算法在核动力设备优化设计中的应用研究

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Research on Application of Complex-Genetic Algorithm in Nuclear Component Optimal Design

College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China

摘要: 复合形优化算法是核动力设备等机械优化设计中应用比较多的方法。本文针对复合形算法在优化计算中的缺点对其做了相应改进,得到复合形-遗传算法,并以核动力设备中的稳压器为例进行优化计算,评价分析复合形-遗传算法的优化能力。结果表明,改进后的算法比原始复合形算法具有更好的优化性能。
- 复合形-遗传算法 /
- 核动力设备 /
- 优化设计
Abstract: Complex algorithm is one of the most commonly used methods in the mechanical design optimization,such as the optimization of nuclear component.An improved method,complex-genetic algorithm（CGA）,is developed based on traditional complex algorithm（TCA）,in which the disadvantages of TCA have been overcome.An optimal calculation,which represents the pressurizer,is carried out in order to analyze the optimization capability of CGA.The results show that CGA has better optimizing performance than TCA.
- Complex-genetic algorithm /
- Nuclear component /
- Optimal design