适用于光滑圆形管局部温度分布计算的遗传算法研究

Research on Genetic Algorithm for Local Temperature Distribution in Smooth Circular Tube

遗传算法被广泛用于各个领域的数值计算,将遗传、变异、竞争与选择的思想与经典换热关联式结合,建立管外单相流体横向冲刷的光滑圆管温度分布计算模型,获得给定工况下的局部温度分布。研究发现,随着变异与杂交概率的提高,获得较优解所需要的演化轮次降低,但变异率过高时,存在演化情况变差的可能。另外,在研究的计算范围内,种群规模越大,演化代数越少。在扩大种群规模的同时需要考虑算力限制。

Genetic algorithms are widely used in numerical calculations in various fields.Combining the ideas of inheritance,variation,competition and selection with the heat transfer correlation,a calculation model for the temperature distribution of a smooth circular tube with single-phase fluid laterally scouring outside the tube is established to obtain the local temperature distribution under a given working condition.The study found that as the probability of mutation and hybridization increases,the number of evolution rounds required to obtain a better solution decreases,but when the mutation rate is too high,the evolution situation may become worse.In addition,within the calculation scope of this paper,the larger the population size,the less times the evolutionary algebra.It is necessary to consider the limitation of computing power when expanding the population size.