The current study deals with the optimization of significant parameters of aluminium and copper rectangular porous fins using firefly algorithm with reflective boundary condition. The study has been done considering convective heat transfer, in the first case, as well as combined convective and radiative modes of heat transfer, in the second case. To solve the non-linear governing equation, a semi analytical technique, differential transformation method is adopted. The results obtained by differential transformation method are validated by the numerical solution obtained by the finite difference method. The performance of firefly algorithm is evaluated by comparing with the results obtained by particle swarm optimization where it is seen that for the current set of equations, firefly algorithm took lesser number of iterations and computational time to converge than particle swarm optimization for all the cases. The analysis has been done for three different fin volumes and the effect of important variables which directly influence the heat transfer rate through porous fins has been discussed.

中文翻译：

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一种改进的萤火虫算法，以最大化暴露于对流和辐射环境的热交换器中矩形多孔翅片的散热

目前的研究涉及使用具有反射边界条件的萤火虫算法优化铝和铜矩形多孔翅片的重要参数。该研究已在第一种情况下考虑对流传热，以及在第二种情况下考虑组合对流和辐射传热模式进行。求解非线性控制方程，采用半解析技术，微分变换法。微分变换法得到的结果，通过有限差分法得到的数值解得到了验证。萤火虫算法的性能通过与粒子群优化获得的结果进行比较来评估，其中可以看出，对于当前的方程组，萤火虫算法在所有情况下都比粒子群优化花费更少的迭代次数和计算时间来收敛。对三种不同的翅片体积进行了分析，并讨论了直接影响多孔翅片传热速率的重要变量的影响。