An agent-oriented hierarchic strategy for solving inverse problems
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Publication:747520
DOI10.1515/amcs-2015-0036zbMath1322.93034OpenAlexW2294293646MaRDI QIDQ747520
Julen Álvarez-Aramberri, David Pardo, MacIej Smołka, Robert Schaefer, Maciej Paszynski
Publication date: 16 October 2015
Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/amcs-2015-0036
inverse problemsmulti-agent systemsmemetic algorithmshybrid optimization methodsmagnetotelluric data inversion
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Related Items (3)
Understanding measure-driven algorithms solving irreversibly ill-conditioned problems ⋮ Differentiability of the objective in a class of coefficient inverse problems ⋮ Machine-learning in optimization of expensive black-box functions
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