Review of utilization of genetic algorithms in heat transfer problems

被引：337

作者：

Gosselin, Louis ^{[1
]}

Tye-Gingras, Maxime ^{[1
]}

Mathieu-Potvin, Francois ^{[1
]}

机构：

[1] Univ Laval, Dept Genie Mecan, Quebec City, PQ G1V 0A6, Canada

来源：

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER | 2009年 / 52卷 / 9-10期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Genetic Algorithms (GA); Optimization; Heat transfer; Inverse problems; Design; Correlation; Evolutionary algorithms; MULTIOBJECTIVE SHAPE OPTIMIZATION; EXCHANGER NETWORK SYNTHESIS; THERMAL-PROPERTY ESTIMATION; HVAC SYSTEM OPTIMIZATION; THERMOELECTRIC COOLERS; GLOBAL OPTIMIZATION; NEURAL-NETWORKS; OPTIMAL-DESIGN; PART II; PERFORMANCE IMPROVEMENT;

D O I：

10.1016/j.ijheatmasstransfer.2008.11.015

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This review presents when and how Genetic Algorithms (GAs) have been used over the last 15 years in the field of heat transfer. GAs are an optimization tool based on Darwinian evolution. They have been developed in the 1970s, but their utilization in heat transfer problems is more recent. In particular, the last couple of years have seen a sharp increase of interest in GAs for heat transfer related optimization problems. Three main families of heat transfer problems using GAs have been identified: (i) thermal systems design problems, (ii) inverse heat transfer problems, and (iii) development of heat transfer correlations. We present here the main features of the problems addressed with GAs including the modeling, number of variables, and GA settings. This information is useful for future use of GAs in heat transfer. Future possibilities and accomplishments of GAs in heat transfer are also drawn. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：2169 / 2188

页数：20

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