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	Optimization of heat conduction using combinatorial optimization algorithms
	Xu Xianghua ; Liang Xingang ; Ren Jianxun
	2010-05-10 ; 2010-05-10
关键词	theat conduction volume-to-point optimization simulated annealing genetic algorithm CONSTRUCTAL THEORY ECONOMICS Thermodynamics Engineering, Mechanical Mechanics
中文摘要	The Volume-to-Point (VP) problem is a base problem of heat conduction optimization. The nonlinear two-dimensional optimization problem of VP is discretized and transformed to a combinatorial optimization problem, which can be solved by some modern optimization algorithms. Algorithms for VP problem using simulated annealing and genetic algorithm are developed. Results for different cases are obtained using these algorithms. Analyses of the results and algorithms are also presented, that shows these algorithms are better than bionic optimization algorithm and constructal theory for VP problem, and can be generalized to complex conditions. (c) 2006 Elsevier Ltd. All rights reserved.
语种	英语 ; 英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/22591]
专题	清华大学
推荐引用方式 GB/T 7714	Xu Xianghua,Liang Xingang,Ren Jianxun. Optimization of heat conduction using combinatorial optimization algorithms[J],2010, 2010.
APA	Xu Xianghua,Liang Xingang,&Ren Jianxun.(2010).Optimization of heat conduction using combinatorial optimization algorithms..
MLA	Xu Xianghua,et al."Optimization of heat conduction using combinatorial optimization algorithms".(2010).

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