Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU155642" target="_blank" >RIV/00216305:26210/24:PU155642 - isvavai.cz</a>

Result on the web

<a href="https://dl.acm.org/doi/10.1145/3638530.3664073" target="_blank" >https://dl.acm.org/doi/10.1145/3638530.3664073</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3638530.3664073" target="_blank" >10.1145/3638530.3664073</a>

Result language

angličtina

Original language name

Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change

Original language description

This Hot Off the Press paper summarizes our recent work “Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study” published in Engineering Applications of Artificial Intelligence [5]. In the paper, we study inverse heat transfer problems with phase change, where the boundary heat flux is estimated. Such problems are ill-posed and their solution is challenging. Although there were conventional developed for this problem in the past, they are not well-suited for cases including phase change, as these contain strong nonlinearities that bring additional computational difficulties. For such problems, soft computing methods provide a promising approach. Four methods from distinct categories of techniques are applied to this problem and thoroughly compared - the conventional gradientbased method, a fuzzy logic-based method, a population-based meta-heuristic, and a surrogate-assisted method. A reformulation of the problem utilizing dimension reduction and decomposition schemes was developed, bringing extensive computational improvements. The metaheuristic and the surrogate-based methods showed superior performance. Their performance was also rather stable and insensitive to the location of the temperature sensor (the source of data for the inverse estimation). A Zenodo repository with the complete implementation of all considered problems and methods is available

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA22-31173S" target="_blank" >GA22-31173S: Adaptive soft computing framework for inverse heat transfer problems with phase change</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2024 Genetic and Evolutionary Computation Conference Companion

ISBN

979-8-4007-0495-6

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

47-48

Publisher name

Association for Computing Machinery, Inc

Place of publication

neuveden

Event location

Melbourne

Event date

Jul 14, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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