The present study shows the strong ability of a genetic algorithm (GA) in the thermal design and optimization of a herringbone wavy fin and circular tube compact heat exchanger (FTHE). The influences of various design parameters on friction factor, Colburn factor, and minimum total annual cost (TAC) are presented. Mainly, three design objectives are considered, such as minimum friction factor, maximum Colburn factor, and minimum TAC. For optimization, the Optimization toolbox of Matlab is used. In the GA routine, tournament selection, single point crossover, and constraint dependent mutation are adopted. The multiobjective optimization reveals a couple of sets of optimal solutions by optimizing the two objectives, i.e., minimum friction factor and maximum Colburn factor. By minimizing the TAC, a significant amount of cost is found to be reduced as compared to previous works in the literature with some optimum geometrical parameters.

中文翻译：

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波浪翅片圆管换热器灵敏度分析与优化

本研究展示了遗传算法 (GA) 在人字形波浪翅片和圆管紧凑型换热器 (FTHE) 的热设计和优化方面的强大能力。介绍了各种设计参数对摩擦系数、Colburn 系数和最低年度总成本 (TAC) 的影响。主要考虑三个设计目标，例如最小摩擦系数、最大科尔本系数和最小TAC。为了优化，使用了 Matlab 的优化工具箱。在GA例程中，采用锦标赛选择、单点交叉和约束依赖变异。多目标优化通过优化两个目标，即最小摩擦系数和最大Colburn 系数，揭示了一组最优解。通过最小化 TAC，