Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm
Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm
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DOI：
10.1016/j.apm.2012.03.043
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发表时间：
2013-02-01
影响因子：
5
通讯作者：
Patel, Vivek
中科院分区：
文献类型：
--
作者：
Rao, R. Venkata;Patel, Vivek
基于教学的优化（TLBO）是近年来发展起来的一种基于教学过程自然现象的启发式算法。在目前的工作中，TLBO算法的一个修改版本的介绍，并应用于换热器的多目标优化。对板翅式换热器和管壳式换热器进行了优化。以换热器效率最大化和换热器总费用最小化为目标函数。两个算例验证了该算法的有效性和准确性。通过与遗传算法（GA）的优化结果进行比较，验证了改进TLBO的优化结果。(C)2012 Elsevier Inc. All rights reserved.
Teaching-learning-based optimization (TLBO) is a recently developed heuristic algorithm based on the natural phenomenon of teaching-learning process. In the present work, a modified version of the TLBO algorithm is introduced and applied for the multi-objective optimization of heat exchangers. Plate-fin heat exchanger and shell and tube heat exchanger are considered for the optimization. Maximization of heat exchanger effectiveness and minimization of total cost of the exchanger are considered as the objective functions. Two examples are presented to demonstrate the effectiveness and accuracy of the proposed algorithm. The results of optimization using the modified TLBO are validated by comparing with those obtained by using the genetic algorithm (GA). (C) 2012 Elsevier Inc. All rights reserved.