群体复合形优化算法在核动力设备优化设计中的应用

Application of Colony Complex Algorithm to Nuclear Component Optimization Design

  • 摘要: 复合形优化算法(CA)已在核工程领域中得到了广泛应用。本工作结合传统复合形优化算法(TCA)在工程结构优化设计中的应用特点,通过建立多个复合形的最优化组合克服TCA的缺点,达到改进TCA的目的,得到群体复合形优化算法(CCA)。对算例的测试结果表明,CCA较TCA具有更优越的优化性能。将CCA应用于核电高压加热器的优化设计中,优化效果显著。

     

    Abstract: Complex algorithm (CA) has got popular application to the region of nuclear engineering. In connection with the specific features of the application of traditional complex algorithm (TCA) to the optimization design in engineering structures, an improved method, colony complex algorithm (CCA), was developed based on the optimal combination of many complexes, in which the disadvantages of TCA were overcame. The optimized results of benchmark function show that CCA has better optimizing performance than TCA. CCA was applied to the highpressure heater optimization design, and the optimization effect is obvious.

     

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