2011
DOI: 10.1016/j.ijheatmasstransfer.2011.03.061
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Estimation of unknown heat source function in inverse heat conduction problems using quantum-behaved particle swarm optimization

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Cited by 31 publications
(6 citation statements)
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“…It has been used widely for various optimization problems like machining [49], solidification [50] and heat exchanger optimization [51][52][53]. Recently, it is also used for inverse heat transfer problems involving conduction [20,21,[54][55][56], convection [57] and radiation [58,59]. It is evident from the literature that PSO enjoys surge in popularity among heat transfer community than many other search based algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…It has been used widely for various optimization problems like machining [49], solidification [50] and heat exchanger optimization [51][52][53]. Recently, it is also used for inverse heat transfer problems involving conduction [20,21,[54][55][56], convection [57] and radiation [58,59]. It is evident from the literature that PSO enjoys surge in popularity among heat transfer community than many other search based algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, the solution of a transient nonlinear inverse heat conduction problem is difficult, especially if multi-dimensions and measurement errors are concerned. IHCPs have been extensively studied [3][4][5][6][7][8][9][10][11][12][13][14] and many methods have been proposed [15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Since the characteristics of sources in practical problems are always unknown, there are many researches (Cannon and Duchateau, 1998;Fatullayev, 2004;Trong et al, 2005;Yan et al, 2008;Geng and Lin, 2009;Ahmadabadi et al, 2009;Tian et al, 2011;Liu et al, 2011) on such inverse problems of determining source terms from 1970s. In general, the unknown source cannot be obtained from practically restricted boundary measurements, completely.…”
Section: Introductionmentioning
confidence: 99%
“…In Trong et al (2005) and Geng and Lin (2009), the source was sought as a function of both space and time but is additive or separable. However, many researchers sought the source as a function of space or time only (Yan et al, 2008;Ahmadabadi et al, 2009;Tian et al, 2011;Liu et al, 2011).…”
Section: Introductionmentioning
confidence: 99%