Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm

被引：302

作者：

Rao, R. Venkata ^{[1
]}

Patel, Vivek ^{[1
]}

机构：

[1] SV Natl Inst Technol, Dept Mech Engn, Surat 395007, India

来源：

APPLIED MATHEMATICAL MODELLING | 2013年 / 37卷 / 03期

关键词：

Plate-fin heat exchanger; Shell and tube heat exchanger; Teaching-learning-based optimization; Genetic algorithm; OPTIMAL-DESIGN; GENETIC ALGORITHMS;

D O I：

10.1016/j.apm.2012.03.043

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：1147 / 1162

页数：16

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