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Chaos-regularization hybrid algorithm for nonlinear two-dimensional inverse heat conduction problem

Content Provider	Springer Nature Link
Author	Deng gang, Wang Ying xi, Liu Shou ju, Li
Copyright Year	1980
Abstract	A numerical model of nonlinear two-dimensional steady inverse heat conduction problem was established considering the thermal conductivity changing with temperature. Combining the chaos optimization algorithm with the gradient regularization method, a chaos-regularization hybrid algorithm was proposed to solve the established numerical model. The hybrid algorithm can give attention to both the advantages of chaotic optimization algorithm and those of gradient regularization method. The chaos optimization algorithm was used to help the gradient regularization method to escape from local optima in the hybrid algorithm. Under the assumption of temperature-dependent thermal conductivity changing with temperature in linear rule, the thermal conductivity and the linear rule were estimated by using the present method with the aid of boundary temperature measurements. Numerical simulation results show that good estimation on the thermal conductivity and the linear function can be obtained with arbitrary initial guess values, and that the present hybrid algorithm is much more efficient than conventional genetic algorithm and chaos optimization algorithm.
Starting Page	973
Ending Page	980
Page Count	8
File Format	PDF
ISSN	02534827
Journal	Applied Mathematics and Mechanics
Volume Number	23
Issue Number	8
e-ISSN	15732754
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	1980-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	inverse problem inverse heat conduction problem thermal conductivity global optimum hybrid algorithm chaos optimization algorithm gradient regularization method Applications of Mathematics Mathematical Modeling and Industrial Mathematics Mechanics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Mechanics of Materials Mechanical Engineering

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