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dc.contributor.authorSmolka M.
dc.contributor.authorSchaefer R.
dc.contributor.authorPaszynski M.
dc.contributor.authorPardo D.
dc.contributor.authorAlvarez-Aramberri J.
dc.date.accessioned2016-06-13T13:11:51Z
dc.date.available2016-06-13T13:11:51Z
dc.date.issued2015-12-31
dc.identifier.issn1641-876X
dc.identifier.urihttp://hdl.handle.net/20.500.11824/89
dc.description.abstractThe paper discusses the complex, agent-oriented hierarchic memetic strategy (HMS) dedicated to solving inverse parametric problems. The strategy goes beyond the idea of two-phase global optimization algorithms. The global search performed by a tree of dependent demes is dynamically alternated with local, steepest descent searches. The strategy offers exceptionally low computational costs, mainly because the direct solver accuracy (performed by the hp-adaptive finite element method) is dynamically adjusted for each inverse search step. The computational cost is further decreased by the strategy employed for solution inter-processing and fitness deterioration. The HMS efficiency is compared with the results of a standard evolutionary technique, as well as with the multi-start strategy on benchmarks that exhibit typical inverse problems' difficulties. Finally, an HMS application to a real-life engineering problem leading to the identification of oil deposits by inverting magnetotelluric measurements is presented. The HMS applicability to the inversion of magnetotelluric data is also mathematically verified.
dc.formatapplication/pdf
dc.languageeng
dc.publisherInternational Journal of Applied Mathematics and Computer Science
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subjecthybrid optimization methods
dc.subjectInverse problems
dc.subjectmagnetotelluric data inversion
dc.subjectmemetic algorithms
dc.subjectmulti-agent systems
dc.titleAn Agent-Oriented Hierarchic Strategy for Solving Inverse Problems
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.identifier.doi10.1515/amcs-2015-0036
dc.relation.publisherversionhttps://www.amcs.uz.zgora.pl/?action=paper&paper=838


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