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Qualitative and Quantitative Performance Comparison of Recent Optimization Algorithms for Economic Optimization of the Heat Exchangers
Archives of Computational Methods in Engineering ( IF 9.7 ) Pub Date : 2020-08-26 , DOI: 10.1007/s11831-020-09479-1
Vivek Patel , Bansi Raja , Vimal Savsani , Ali Rıza Yildiz

Solving applied problem of economic optimization is considered as a real test for the optimization algorithms. The present work explores the qualitative and quantitative comparative analysis of nine recently developed optimization algorithms for the economic optimization of the heat exchangers. Passing vehicle search, Salp swarm algorithm, Artificial flora optimization, Grey wolf optimizer, Electro-search algorithm, Grasshopper optimisation algorithm, Symbiotic organisms search, Ant lion optimizer, and Heat transfer search algorithm are considered in the present work. Shell and tube, plate-fin, and fin-tube heat exchanger are considered for the optimization. Statistical analyses of the results are carried out to identify the significant between the results of comparative algorithms. The effect of various constraint handling techniques on the performance of the algorithms is identify and presented. Economically optimized geometry of each of the heat exchanger is presented in detail. Finally, the convergence of the considered algorithm in obtaining the minimum total cost solutions are also presented and discussed.



中文翻译:

换热器经济优化的最新优化算法的定性和定量性能比较

解决经济优化的应用问题被认为是优化算法的真实测试。本工作探索了针对热交换器经济性优化的九种最新开发的优化算法的定性和定量比较分析。在本文中,考虑了通过车辆搜索,萨尔普群算法,人工植物优化,灰狼优化器,电搜索算法,蚱Grass优化算法,共生生物搜索,蚁狮优化器和传热搜索算法。考虑使用壳管式,板翅式和翅片管式热交换器进行优化。对结果进行统计分析,以确定比较算法的结果之间的显着性。识别并介绍了各种约束处理技术对算法性能的影响。详细介绍了每个热交换器的经济优化的几何形状。最后,提出并讨论了考虑算法在获得最小总成本解中的收敛性。

更新日期:2020-08-27
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