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Economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm

机译:基于布谷鸟搜索算法的管壳式换热器经济优化设计

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摘要

This paper presents an optimization of shell and tube heat exchangers with respect to the total annual costs by a cuckoo search algorithm. The total annual cost is considered as the optimization objective so as to obtain economic heat exchanger structures. The performance of the CSA algorithm is further compared with various algorithm representative of the state of the art in heat exchanger optimization. The optimal results obtained by the CSA algorithm are much better than the best solutions obtained by the existed methods. Two case studies show the operating costs can be reduced by 77% and 48% compared to the results obtained from PSO (Particle Swarm Optimization) and GA (Genetic Algorithm), respectively. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文介绍了一种基于布谷鸟搜索算法的壳管式换热器相对于年度总成本的优化方法。为了获得经济的热交换器结构,将年度总成本视为优化目标。进一步将CSA算法的性能与代表热交换器优化技术的各种算法进行了比较。通过CSA算法获得的最佳结果比通过现有方法获得的最佳解决方案要好得多。两个案例研究表明,与从PSO(粒子群优化)和GA(遗传算法)获得的结果相比,运营成本可以分别降低77%和48%。 (C)2014 Elsevier Ltd.保留所有权利。

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