Show simple item record

dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorMonfroy E.
dc.contributor.authorJohnson F.
dc.date.accessioned2020-09-02T22:15:41Z
dc.date.available2020-09-02T22:15:41Z
dc.date.issued2014
dc.identifier10.1007/978-3-319-07857-1_88
dc.identifier.citation434 PART I, , 503-508
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4154
dc.descriptionNew methods in Combinatorial Problem Solving can solve larger problems in different domains. They also became more complex, which means that they are hard to use and fine-tuning to the peculiarities of a given problem, limiting its use to a small set of experts, and instead black-box solvers with automated search procedure are needed for its broad applicability. Autonomous Search Systems represent a new research field defined to precisely address the above challenge. The main goal of this paper is to review recent works on this kind of Self-adaptive Systems from the standpoint of the actual requirement for solvers. © Springer International Publishing Switzerland 2014.
dc.language.isoen
dc.publisherSpringer Verlag
dc.subjectAutonomous Search Systems
dc.subjectCombinatorial Problem Solvers
dc.subjectSelf-adaptive Systems
dc.subjectSafety devices
dc.subjectAutomated searches
dc.subjectAutonomous searches
dc.subjectBlack boxes
dc.subjectCombinatorial problem
dc.subjectDifferent domains
dc.subjectResearch fields
dc.subjectSelf-adaptive system
dc.subjectAdaptive systems
dc.titleSelf-adaptive Systems: Facilitating the Use of Combinatorial Problem Solvers
dc.typeConference Paper


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record